Relevant bibliographies by topics / Hand-crafted

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Hand-crafted'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Hand-crafted.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Hand-crafted"

1

Gray, Katherine. "Hand Crafted: Driftwood Horse." Journal of Hand Surgery 40, no. 5 (May 2015): 1007. http://dx.doi.org/10.1016/j.jhsa.2014.12.033.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tokarczyk, P., J. D. Wegner, S. Walk, and K. Schindler. "BEYOND HAND-CRAFTED FEATURES IN REMOTE SENSING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W1 (May 16, 2013): 35–40. http://dx.doi.org/10.5194/isprsannals-ii-3-w1-35-2013.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hartshorne, Nikolas J., Donald T. Reay, and Richard C. Harruff. "Accidental Firearm Fatality Involving a Hand-Crafted Pen Gun." American Journal of Forensic Medicine and Pathology 18, no. 1 (March 1997): 92–95. http://dx.doi.org/10.1097/00000433-199703000-00017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Basirat, Ali, and Heshaam Faili. "Bridge the gap between statistical and hand-crafted grammars." Computer Speech & Language 27, no. 5 (August 2013): 1085–104. http://dx.doi.org/10.1016/j.csl.2013.02.001.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zhang, Tianwen, and Xiaoling Zhang. "Injection of Traditional Hand-Crafted Features into Modern CNN-Based Models for SAR Ship Classification: What, Why, Where, and How." Remote Sensing 13, no. 11 (May 26, 2021): 2091. http://dx.doi.org/10.3390/rs13112091.

Full text
Abstract:
With the rise of artificial intelligence, many advanced Synthetic Aperture Radar (SAR) ship classifiers based on convolutional neural networks (CNNs) have achieved better accuracies than traditional hand-crafted feature ones. However, most existing CNN-based models uncritically abandon traditional hand-crafted features, and rely excessively on abstract ones of deep networks. This may be controversial, potentially creating challenges to improve classification performance further. Therefore, in view of this situation, this paper explores preliminarily the possibility of injection of traditional hand-crafted features into modern CNN-based models to further improve SAR ship classification accuracy. Specifically, we will—(1) illustrate what this injection technique is, (2) explain why it is needed, (3) discuss where it should be applied, and (4) describe how it is implemented. Experimental results on the two open three-category OpenSARShip-1.0 and seven-category FUSAR-Ship datasets indicate that it is effective to perform injection of traditional hand-crafted features into CNN-based models to improve classification accuracy. Notably, the maximum accuracy improvement reaches 6.75%. Hence, we hold the view that it is not advisable to abandon uncritically traditional hand-crafted features, because they can also play an important role in CNN-based models.
APA, Harvard, Vancouver, ISO, and other styles
6

Siegel, Dennis, Christian Kraetzer, Stefan Seidlitz, and Jana Dittmann. "Media Forensics Considerations on DeepFake Detection with Hand-Crafted Features." Journal of Imaging 7, no. 7 (July 1, 2021): 108. http://dx.doi.org/10.3390/jimaging7070108.

Full text
Abstract:
DeepFake detection is a novel task for media forensics and is currently receiving a lot of research attention due to the threat these targeted video manipulations propose to the trust placed in video footage. The current trend in DeepFake detection is the application of neural networks to learn feature spaces that allow them to be distinguished from unmanipulated videos. In this paper, we discuss, with features hand-crafted by domain experts, an alternative to this trend. The main advantage that hand-crafted features have over learned features is their interpretability and the consequences this might have for plausibility validation for decisions made. Here, we discuss three sets of hand-crafted features and three different fusion strategies to implement DeepFake detection. Our tests on three pre-existing reference databases show detection performances that are under comparable test conditions (peak AUC > 0.95) to those of state-of-the-art methods using learned features. Furthermore, our approach shows a similar, if not better, generalization behavior than neural network-based methods in tests performed with different training and test sets. In addition to these pattern recognition considerations, first steps of a projection onto a data-centric examination approach for forensics process modeling are taken to increase the maturity of the present investigation.
APA, Harvard, Vancouver, ISO, and other styles
7

Cahill, Aoife, Michael Burke, Ruth O'Donovan, Stefan Riezler, Josef van Genabith, and Andy Way. "Wide-Coverage Deep Statistical Parsing Using Automatic Dependency Structure Annotation." Computational Linguistics 34, no. 1 (March 2008): 81–124. http://dx.doi.org/10.1162/coli.2008.34.1.81.

Full text
Abstract:
A number of researchers have recently conducted experiments comparing “deep” hand-crafted wide-coverage with “shallow” treebank- and machine-learning-based parsers at the level of dependencies, using simple and automatic methods to convert tree output generated by the shallow parsers into dependencies. In this article, we revisit such experiments, this time using sophisticated automatic LFG f-structure annotation methodologies with surprising results. We compare various PCFG and history-based parsers to find a baseline parsing system that fits best into our automatic dependency structure annotation technique. This combined system of syntactic parser and dependency structure annotation is compared to two hand-crafted, deep constraint-based parsers, RASP and XLE. We evaluate using dependency-based gold standards and use the Approximate Randomization Test to test the statistical significance of the results. Our experiments show that machine-learning-based shallow grammars augmented with sophisticated automatic dependency annotation technology outperform hand-crafted, deep, wide-coverage constraint grammars. Currently our best system achieves an f-score of 82.73% against the PARC 700 Dependency Bank, a statistically significant improvement of 2.18% over the most recent results of 80.55% for the hand-crafted LFG grammar and XLE parsing system and an f-score of 80.23% against the CBS 500 Dependency Bank, a statistically significant 3.66% improvement over the 76.57% achieved by the hand-crafted RASP grammar and parsing system.
APA, Harvard, Vancouver, ISO, and other styles
8

TAKAHASHI, KAZUKO, HIROYA TAKAMURA, and MANABU OKUMURA. "Automatic Occupation Coding with Machine Learning and Hand-Crafted Rules." Journal of Natural Language Processing 12, no. 2 (2005): 3–23. http://dx.doi.org/10.5715/jnlp.12.2_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Cambra‐Fierro, Jesus, Rosario Vazquez‐Carrasco, and Edgar Centeno. "The challenges of internationalising national culture‐based hand‐crafted products." Marketing Intelligence & Planning 27, no. 7 (October 23, 2009): 900–908. http://dx.doi.org/10.1108/02634500911000216.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Keçeli, Ali Seydi, Aydın Kaya, and Seda Uzunçimen Keçeli. "Classification of radiolarian images with hand-crafted and deep features." Computers & Geosciences 109 (December 2017): 67–74. http://dx.doi.org/10.1016/j.cageo.2017.08.011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Hand-crafted"

1

Hague, Andrew Christopher. "Towards deeper learning with hand-crafted courseware." Thesis, University of York, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362067.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Singer, Ron. "Comparing machine learning and hand-crafted approaches for information extraction from HTML documents." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79127.

Full text
Abstract:
The problem of automatically extracting information from web pages is becoming very important, due to the explosion of information available on the World Wide Web. In this thesis, we explore and compare hand-crafted information extraction tools with tools constructed using machine learning algorithms. The task we consider is the extraction of organization names and contact information, such as addresses and phone numbers, from web pages. Given the huge number of company web pages on the Internet, automating this task is of great practical interest. The system we developed consists of two components. The first component achieves the labeling or tagging of named entities (such as company names, addresses and phone numbers) in HTML documents. We compare the performance of hand-coded regular expressions and decision trees for this task. Using decision trees allows us to generate tagging rules that are significantly more accurate. The second component is used to establish relationships between named entities (i.e. company names, phone numbers and addresses), for the purpose of structuring the data into a useful record (i.e. a contact, or an organization). For this task we experimented with two approaches. The first approach uses an aggregator that implements human-generated heuristics to relate the tags and create the records sought. The second approach is based on Hidden Markov Models (HMM). As far as we know, no one has used HMM before to establish relationships between more than two tagged entities. Our empirical results suggest that HMMs compare favorable with the hand-crafted aggregator in terms of performance and ease of development.
APA, Harvard, Vancouver, ISO, and other styles
3

Tepper, Leslie H. "Hand crafted : creating a market for Canada's Northwest Coast native arts and crafts." Thesis, University of Leicester, 2002. http://hdl.handle.net/2381/31141.

Full text
Abstract:
Museum collections contain examples of Aboriginal Northwest Coast material culture that have been categorised as curios, artefacts, tourist art, arts and crafts, or art. This dissertation examines the emergence of Native Northwest Coast Aboriginal objects made for sale as "arts and crafts". The discussion draws on the multidisciplinary field of material culture studies, on the theories of commodification and on the concept of the reinvention of culture. At the end of the nineteenth century the British Arts and Crafts Movement called for a return to the values and practices of an earlier period of hand crafted objects. For the next half-century in North America government agents, missionaries and philanthropic societies encouraged the production of traditional Aboriginal functional objects as a form of arts and crafts. This activity was perceived as a means of economic self-sufficiency, and to promote feelings of self-identity and self-worth among Native producers. At the onset of World War II. various individuals, private organisations, and government departments worked to transform the producer and the marketplace through education and public policy. Change was to be accomplished by establishing new venues, new expectations of behaviour, and a new social relationship between the supplier and the consumer. Today, a growing number of Native studio crafts people create objects of traditional material culture as a means of livelihood, and as participants in the revitalisation of Northwest Coast Aboriginal society. The term arts and crafts, however, has fallen into disuse and disfavour among Western scholars and Indigenous producers who associate the phrase with poor quality and low income. The term of choice today is art and artist. This work suggests that the production of arts and crafts in British Columbia was an important transition stage in the development of the Native art market. The efforts by private individuals, philanthropic societies and government programs during the mid-20th century raised the value of the hand crafted object. The thesis also suggests that the concept inherent in the Arts and Crafts Movement of "doing good when doing craft", is cyclical, reappearing as strategic policy during times of economic and social crisis on the Northwest Coast.
APA, Harvard, Vancouver, ISO, and other styles
4

Clapés, i. Sintes Albert. "Learning to recognize human actions: from hand-crafted to deep-learning based visual representations." Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/666794.

Full text
Abstract:
Action recognition is a very challenging and important problem in computer vision. Researchers working on this field aspire to provide computers with the ability to visually perceive human actions – that is, to observe, interpret, and understand human-related events that occur in the physical environment merely from visual data. The applications of this technology are numerous: human-machine interaction, e-health, monitoring/surveillance, and content-based video retrieval, among others. Hand-crafted methods dominated the field until the apparition of the first successful deep learning-based action recognition works. Although earlier deep-based methods underperformed with respect to hand-crafted approaches, these slowly but steadily improved to become state-of-the-art, eventually achieving better results than hand-crafted ones. Still, hand-crafted approaches can be advantageous in certain scenarios, specially when not enough data is available to train very large deep models or simply to be combined with deep-based methods to further boost the performance. Hence, showing how hand-crafted features can provide extra knowledge the deep networks are not able to easily learn about human actions. This Thesis concurs in time with this change of paradigm and, hence, reflects it into two distinguished parts. In the first part, we focus on improving current successful hand-crafted approaches for action recognition and we do so from three different perspectives. Using the dense trajectories framework as a backbone: first, we explore the use of multi-modal and multi-view input data to enrich the trajectory descriptors. Second, we focus on the classification part of action recognition pipelines and propose an ensemble learning approach, where each classifier learns from a different set of local spatiotemporal features to then combine their outputs following an strategy based on the Dempster-Shaffer Theory. And third, we propose a novel hand-crafted feature extraction method that constructs a mid-level feature description to better model long-term spatiotemporal dynamics within action videos. Moving to the second part of the Thesis, we start with a comprehensive study of the current deep-learning based action recognition methods. We review both fundamental and cutting edge methodologies reported during the last few years and introduce a taxonomy of deep-learning methods dedicated to action recognition. In particular, we analyze and discuss how these handle the temporal dimension of data. Last but not least, we propose a residual recurrent network for action recognition that naturally integrates all our previous findings in a powerful and promising framework.
El reconeixement d’accions és un repte de gran rellevància pel que fa a la visió per computador. Els investigadors que treballen en el camp aspiren a proveir als ordinadors l’habilitat de percebre visualment les accions humanes – és a dir, d’observar, interpretar i comprendre a partir de dades visuals els events que involucren humans i que transcorren en l’entorn físic. Les aplicacions d’aquesta tecnologia són nombroses: interacció home-màquina, e-salut, monitoració/vigilància, indexació de videocontingut, etc. Els mètodes de disseny manual han dominat el camp fins l’aparició dels primers treballs exitosos d’aprenentatge profund, els quals han acabat esdevenint estat de l’art. No obstant, els mètodes de disseny manual resulten útils en certs escenaris, com ara quan no es tenen prou dades per a l’entrenament dels mètodes profunds, així com també aportant coneixement addicional que aquests últims no són capaços d’aprendre fàcilment. És per això que sovint els trobem ambdós combinats, aconseguint una millora general del reconeixement. Aquesta Tesi ha concorregut en el temps amb aquest canvi de paradigma i, per tant, ho reflecteix en dues parts ben distingides. En la primera part, estudiem les possibles millores sobre els mètodes existents de característiques manualment dissenyades per al reconeixement d’accions, i ho fem des de diversos punts de vista. Fent ús de les trajectòries denses com a fonament del nostre treball: primer, explorem l’ús de dades d’entrada de múltiples modalitats i des de múltiples vistes per enriquir els descriptors de les trajectòries. Segon, ens centrem en la part de la classificació del reconeixement d’accions, proposant un assemblat de classificadors d’accions que actuen sobre diversos conjunts de característiques i fusionant-ne les sortides amb una estratégia basada en la Teoria de Dempster-Shaffer. I tercer, proposem un nou mètode de disseny manual d’extracció de característiques que construeix una descripció intermèdia dels videos per tal d’aconseguir un millor modelat de les dinàmiques espai-temporals de llarg termini presents en els vídeos d’accions. Pel que fa a la segona part de la Tesi, comencem amb un estudi exhaustiu els mètodes actuals d’aprenentatge profund pel reconeixement d’accions. En revisem les metodologies més fonamentals i les més avançades darrerament aparegudes i establim una taxonomia que en resumeix els aspectes més importants. Més concretament, analitzem com cadascun dels mètodes tracta la dimensió temporal de les dades de vídeo. Per últim però no menys important, proposem una nova xarxa de neurones recurrent amb connexions residuals que integra de manera implícita les nostres contribucions prèvies en un nou marc d’acoblament potent i que mostra resultats prometedors.
APA, Harvard, Vancouver, ISO, and other styles
5

Jabreel, Mohammed Hamood Abdullah. "Sentiment Analysis of Textual Content in Social Networks. From Hand-Crafted to Deep Learning-Based Models." Doctoral thesis, Universitat Rovira i Virgili, 2020. http://hdl.handle.net/10803/669441.

Full text
Abstract:
Aquesta tesi proposa diversos mètodes avançats per analitzar automàticament el contingut textual compartit a les xarxes socials i identificar les opinions, emocions i sentiments a diferents nivells d’anàlisi i en diferents idiomes. Comencem proposant un sistema d’anàlisi de sentiments, anomenat SentiRich, basat en un conjunt ric d’atributs, inclosa la informació extreta de lèxics de sentiments i models de word embedding pre-entrenats. A continuació, proposem un sistema basat en Xarxes Neurals Convolucionals i regressors XGboost per resoldre una sèrie de tasques d’anàlisi de sentiments i emocions a Twitter. Aquestes tasques van des de les tasques típiques d’anàlisi de sentiments fins a determinar automàticament la intensitat d’una emoció (com ara alegria, por, ira, etc.) i la intensitat del sentiment dels autors a partir dels seus tweets. També proposem un nou sistema basat en Deep Learning per solucionar el problema de classificació de les emocions múltiples a Twitter. A més, es va considerar el problema de l’anàlisi del sentiment depenent de l’objectiu. Per a aquest propòsit, proposem un sistema basat en Deep Learning que identifica i extreu l'objectiu dels tweets. Tot i que alguns idiomes, com l’anglès, disposen d’una àmplia gamma de recursos per permetre l’anàlisi del sentiment, a la majoria de llenguatges els hi manca. Per tant, utilitzem la tècnica d'anàlisi de sentiments entre idiomes per desenvolupar un sistema nou, multilingüe i basat en Deep Learning per a llenguatges amb pocs recursos lingüístics. Proposem combinar l’ajuda a la presa de decisions multi-criteri i anàlisis de sentiments per desenvolupar un sistema que permeti als usuaris la possibilitat d’explotar tant les opinions com les seves preferències en el procés de classificació d’alternatives. Finalment, vam aplicar els sistemes desenvolupats al camp de la comunicació de les marques de destinació a través de les xarxes socials. Amb aquesta finalitat, hem recollit tweets de persones locals, visitants i els gabinets oficials de Turisme de diferents destinacions turístiques i es van analitzar les opinions i les emocions compartides en ells. En general, els mètodes proposats en aquesta tesi milloren el rendiment dels enfocaments d’última generació i mostren troballes apassionants.
Esta tesis propone varios métodos avanzados para analizar automáticamente el contenido textual compartido en las redes sociales e identificar opiniones, emociones y sentimientos, en diferentes niveles de análisis y en diferentes idiomas. Comenzamos proponiendo un sistema de análisis de sentimientos, llamado SentiRich, que está basado en un conjunto rico de características, que incluyen la información extraída de léxicos de sentimientos y modelos de word embedding previamente entrenados. Luego, proponemos un sistema basado en redes neuronales convolucionales y regresores XGboost para resolver una variedad de tareas de análisis de sentimientos y emociones en Twitter. Estas tareas van desde las típicas tareas de análisis de sentimientos hasta la determinación automática de la intensidad de una emoción (como alegría, miedo, ira, etc.) y la intensidad del sentimiento de los autores de los tweets. También proponemos un novedoso sistema basado en Deep Learning para abordar el problema de clasificación de emociones múltiples en Twitter. Además, consideramos el problema del análisis de sentimientos dependiente del objetivo. Para este propósito, proponemos un sistema basado en Deep Learning que identifica y extrae el objetivo de los tweets. Si bien algunos idiomas, como el inglés, tienen una amplia gama de recursos para permitir el análisis de sentimientos, la mayoría de los idiomas carecen de ellos. Por lo tanto, utilizamos la técnica de Análisis de Sentimiento Inter-lingual para desarrollar un sistema novedoso, multilingüe y basado en Deep Learning para los lenguajes con pocos recursos lingüísticos. Proponemos combinar la Ayuda a la Toma de Decisiones Multi-criterio y el análisis de sentimientos para desarrollar un sistema que brinde a los usuarios la capacidad de explotar las opiniones junto con sus preferencias en el proceso de clasificación de alternativas. Finalmente, aplicamos los sistemas desarrollados al campo de la comunicación de las marcas de destino a través de las redes sociales. Con este fin, recopilamos tweets de personas locales, visitantes, y gabinetes oficiales de Turismo de diferentes destinos turísticos y analizamos las opiniones y las emociones compartidas en ellos. En general, los métodos propuestos en esta tesis mejoran el rendimiento de los enfoques de vanguardia y muestran hallazgos interesa.
This thesis proposes several advanced methods to automatically analyse textual content shared on social networks and identify people’ opinions, emotions and feelings at a different level of analysis and in different languages. We start by proposing a sentiment analysis system, called SentiRich, based on a set of rich features, including the information extracted from sentiment lexicons and pre-trained word embedding models. Then, we propose an ensemble system based on Convolutional Neural Networks and XGboost regressors to solve an array of sentiment and emotion analysis tasks on Twitter. These tasks range from the typical sentiment analysis tasks, to automatically determining the intensity of an emotion (such as joy, fear, anger, etc.) and the intensity of sentiment (aka valence) of the authors from their tweets. We also propose a novel Deep Learning-based system to address the multiple emotion classification problem on Twitter. Moreover, we considered the problem of target-dependent sentiment analysis. For this purpose, we propose a Deep Learning-based system that identifies and extracts the target of the tweets. While some languages, such as English, have a vast array of resources to enable sentiment analysis, most low-resource languages lack them. So, we utilise the Cross-lingual Sentiment Analysis technique to develop a novel, multi-lingual and Deep Learning-based system for low resource languages. We propose to combine Multi-Criteria Decision Aid and sentiment analysis to develop a system that gives users the ability to exploit reviews alongside their preferences in the process of alternatives ranking. Finally, we applied the developed systems to the field of communication of destination brands through social networks. To this end, we collected tweets of local people, visitors, and official brand destination offices from different tourist destinations and analysed the opinions and the emotions shared in these tweets.
APA, Harvard, Vancouver, ISO, and other styles
6

Gurisik, Selcuk Halil. "The paradox and contradictions in cultural value and exchange worth of Anatolian hand-crafted wool felted textiles." Thesis, University of the Arts London, 2006. http://ualresearchonline.arts.ac.uk/5213/.

Full text
Abstract:
This thesis seeks to explain the development and implementation of a new model, methods and process of practice required for the rejuvenation of hand crafted woolfelted textile making customs and practices of the Anatolian region of Turkey, which mediates tradition in a contemporary context. In progressing the aims of the research project underpinning the thesis it was necessary to undertake both field work, learning the felt makers' practices, and to undertake empirical design-based product trials which provided insights into the culture and creative potential of the felt making activity thus facilitating the development of the new model of practice. Therefore the thesis examines not only the nature and context, both historical and contemporary, of felt makers and felt making practice in Anatolia but also presents ethnographic and theoretical discourse intended to argue and justify the approaches adopted in the development of the new model of practice and a verification process of its effectiveness. The thesis interrelates strands of changing contexts; research record and theory discourse and argues that the new model of practice enables sustainability and displays ethical responsibility appropriate to, and commensurate with, the felt making culture of Anatolia and its traditions. The thesis argues by demonstration that the perception of an object is determined by location and level of consciousness, which can be reflected upon and, through redesign involving aggregation of qualities and values, purposefully represent an object and recreate its lost aura's root from tradition, transposed into a new diversity of perceptual responses. The thesis concludes that mediatory actions implicit in the new model of practice need not adversely impact upon the traditional culture of the makers in terms of lifestyle choices, since reciprocal exchange is a local transaction, which proffers evolving tradition as cultural values to a diversity of external locations and levels of consciousness. This open-ended mediatory action of anonymous hybridisations will continue by the intervention of other designers through evolutionary integration to elevate the status of the culture object and its related craft activity.
APA, Harvard, Vancouver, ISO, and other styles
7

Cosulich, Roberta Daniela de Marchis. "Lina Bo Bardi: do pré-artesanato ao design." Universidade Presbiteriana Mackenzie, 2007. http://tede.mackenzie.br/jspui/handle/tede/2606.

Full text
Abstract:
Made available in DSpace on 2016-04-15T23:45:12Z (GMT). No. of bitstreams: 2 Roberta de Marchis Cosulich1.pdf: 978844 bytes, checksum: 598e87daf18ec2e4e77278fe0fde20ee (MD5) Roberta de Marchis Cosulich2.pdf: 2175146 bytes, checksum: 2d3e31ea9fe8acc63141cfd1b7131e52 (MD5) Previous issue date: 2007-03-05
The research is the consequence of seeking for the understanding of art and design in Brazil. This work met (found) in the experience and the creations of the architect Lina Bo Bardi, a possible way to an answer. Coming from Italy to Brazil in 1946, the architect used her foreign look to analyze the popular art of Bahia s sertão (north-east of Brazil) with an anthropologic method and, having absorbed the information she transformed it in exhibitions, architecture and products, which are one of the possibilities to understand the evolution (story) of the design product in Brazil.
Conseqüência de uma busca para o entendimento da arte e, mais especificamente, do projeto de produtos no Brasil; este trabalho encontrou na experiência da produção da arquiteta Lina Bo Bardi (1914-1992) um caminho possível para uma resposta. Tendo vindo da Itália para o Brasil em 1946 a arquiteta utilizou seu olhar estrangeiro para interpretar a arte popular do sertão da Bahia como uma metodologia antropológica e, tendo absorvido estas informações as transformou em exposições, arquiteturas e produtos que são uma das tantas possibilidades para o entendimento da história do produto no Brasil.
APA, Harvard, Vancouver, ISO, and other styles
8

CHI, TAI-TING, and 紀岱廷. "Analysis of Integrating Deep and Hand-Crafted Features for Thermal Obstacle Detection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/74br35.

Full text
Abstract:
碩士
國立高雄科技大學
電腦與通訊工程系
107
Recently, the use of Convolutional Neural Network (CNN) automatically extracts effective features from raw data. CNN is different from the hand-crafted features which is designed by human being for solving the specific image processing problems. In order to investigate the complement relation between CNN features (or called deep feature) and hand-crafted features, this work integrates two kinds of features for thermal obstacle detection. Deep feature is based on the YOLO detector; hand-crafted features used are HLID and LBP which are the two widely used features in thermal images. The way for investigating the integration effect is by respectively impose the hand-crafted features to different CNN layers. In order to achieve this, we change the concatenation way of the above-mentioned hand-crafted features and integrate it into the convolutional neural network to observe the effect of hand-crafted features on detection performance. In the experimental, we use the self-labeled thermal image dataset for verification, and integrate the hand-crafted features into some layers of the neural network. The metric used for evaluation is mAP.
APA, Harvard, Vancouver, ISO, and other styles
9

溫祐昇. "The study of hand-crafted animation creation which is performed by Montage Technique." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/w7d94h.

Full text
Abstract:
碩士
國立臺灣師範大學
設計研究所
97
This paper is written by following creators’ concepts. “Montage Technique” and “Hand-crafted Animation” are two main subject matters of this study. To outline the montage theory and technique on the one part, and also coordinate the development of animation on the other part among this study. To adopt Montage technique, in film editing in which a series of short shots, as major creation syle of this study. And choosing the most discussed topic: global warming as the main theme. In the process of animaton composing, to set up one story content and to use passages changing method (Montage Technique, zoom in & zoom out) with whole seriers circumstances connecting to suprise audiences.The animation which contained Montage technique normally carry humorous and outstanding character.Hope in this way to arouse society to aware global warming damages and respect worldwide environmental protection. Study results are as follows: 1.Creat the Montage style works needs more than one story happenings to make them connection. Two individual and conflict, opposite stories would be even better. 2.Using close-up shots and landscape shots (zoom in & zoom out) to bring to a frame of conflict. Also can make the audiences to feel the continuous of the story. 3.Animation is an unlimited, vitality ,drawing close to life performance intermediary material.
APA, Harvard, Vancouver, ISO, and other styles
10

Chen, Sheng-Fang, and 陳聖方. "LSTM with Hand-crafted View-Invariant and Differential Cues (HVDC) for 3D Human Action Recognition." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/58p787.

Full text
Abstract:
碩士
國立臺灣科技大學
電機工程系
105
Good action recognition relies on correct interpretation of two critical attributes related to action: the spatial attribute on the detected person’s posture, and the temporal attribute on the detected person’s body movement. Whereas deep learning has greatly improved image recognition, we have not found a similar progress for action recognition. One of the main reasons is due to the complexity caused by the additional temporal dimension; another, to the fact that there are less annotated training data samples for action recognition than that for image recognition. In this regard, this paper proposes a handcrafted cued LSTM model for human action recognition based on RGB-D data, as a collection of 25 skeleton joints in 3D coordinates, found in NTU-RGB-D, currently the most comprehensive dataset for action recognition. As opposed to the raw data of skeleton joints, handcrafted cues, pre-processed results geared to facilitate focused learning, are proposed as input to the LSTM structure. In particular, pertaining to the spatial cue, the SVIT cue derived by Skeleton View-invariant Transformation is adopted; pertaining to the temporal cue, the Diff cue computed by taking the displacements of all joint across down-sampled raw data is utilized. Based on the train/test protocol, the experiment we conducted on NTU-RGB-D shows that the recognition result based on either of the proposed handcrafted cues is better than that based on the raw data. In addition, by our proposed techniques of feature fusion and/or decision fusion of these two handcrafted cues, the recognition performance is better than that of the state-of-the-art approaches conducting on the same dataset by same train/test protocol.
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Hand-crafted"

1

Wood, Jonathan. Coachbuilding: The hand-crafted car body. Oxford: Shire Publications, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

1945-, Sandfield Norman L., ed. Native American bolo ties: Hand-crafted vintage and contemporary. Santa Fe: Museum of New Mexico Press, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Freeman, Sue. Felt craft: Hand crafted felt from fleece to finished projects. Newton Abbot, Devon: David & Charles, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

The commonsense kitchen: 500 recipes + lessons for a hand-crafted life. San Francisco: Chronicle Books, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kauffman, Henry J. Early American copper, tin & brass: Hand-crafted metalware from colonial times. Mendham, N.J: Astragal Press, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Susan, Heeger, ed. Hand-crafted candy bars: From-scratch, all-natural, gloriously grown-up confections. San Francisco, Calif: Chronicle Books, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hand-crafted boats of old Currituck: Fishing and boating on the Carolina coast. Charleston, SC: The History Press, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

O'Leary, Jer. Jer O'Leary's banners of unity: Hand-crafted banners of the Labour and Progressive Movement. Dublin: North Inner City Folklore Project, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Year-round paper crafts: Celebrate the seasons with hand-crafted cards, tags, decorations and more. [Place of publication not identified]: Arena Books Associates, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Starr, Sadie. Sadie Starr presents beading with seed beads, gem stones & cabochons: Easy step by step instructions so you can create your own unique, hand-crafted wearable art. [Camp Verde, Ariz.]: Shooting Starr Gallery Publications, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Hand-crafted"

1

Voutilainen, Atro. "Hand-Crafted Rules." In Text, Speech and Language Technology, 217–46. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9273-4_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Shaolei, Wanxiang Che, Yijia Liu, and Ting Liu. "Enhancing Neural Disfluency Detection with Hand-Crafted Features." In Lecture Notes in Computer Science, 336–47. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47674-2_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Chuquimia, Orlando, Bertrand Granado, Xavier Dray, and Andrea Pinna. "Hand Crafted Method: ROI Selection and Texture Description." In Computer-Aided Analysis of Gastrointestinal Videos, 49–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64340-9_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Napoletano, Paolo. "Hand-Crafted vs Learned Descriptors for Color Texture Classification." In Lecture Notes in Computer Science, 259–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56010-6_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Devassy, Binu Melit, Sule Yildirim-Yayilgan, and Jon Yngve Hardeberg. "The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classification Using Both Hand-Crafted and Deep Features." In Advances in Intelligent Systems and Computing, 150–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01054-6_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Celona, Luigi, and Luca Manoni. "Neonatal Facial Pain Assessment Combining Hand-Crafted and Deep Features." In New Trends in Image Analysis and Processing – ICIAP 2017, 197–204. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70742-6_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Mahato, Shyam Janam, Debapriya Banik, and Debotosh Bhattacharjee. "Exploring Hand-Crafted Features and Transfer Learning for Polyp Segmentation." In Communications in Computer and Information Science, 68–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75529-4_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Susmitha, A., Sanjay Jain, and Mihir Narayan Mohanty. "Random Forest Classification-Based Video Event Detection Utilizing Hand Crafted Features." In Lecture Notes in Networks and Systems, 645–51. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0695-3_60.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bouchemha, Amel, Abdallah Meraoumia, Lakhdar Laimeche, and Lotfi Houam. "Learning Hand-Crafted Palm-Features for a High-Performance Biometric Systems." In Lecture Notes in Electrical Engineering, 855–66. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6893-4_77.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Annunziata, Roberto, Ahmad Kheirkhah, Pedram Hamrah, and Emanuele Trucco. "Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters." In Lecture Notes in Computer Science, 596–603. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24574-4_71.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Hand-crafted"

1

Preston, William, Steve Benford, Emily-Clare Thorn, Boriana Koleva, Stefan Rennick-Egglestone, Richard Mortier, Anthony Quinn, John Stell, and Michael Worboys. "Enabling Hand-Crafted Visual Markers at Scale." In DIS '17: Designing Interactive Systems Conference 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3064663.3064746.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Posch, Irene, and Ebru Kurbak. "CRAFTED LOGIC Towards Hand-Crafting a Computer." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2851581.2891101.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jin, Guoqing, Shiwei Shen, Dongming Zhang, Wenjing Duan, and Yongdong Zhang. "Deep saliency map estimation of hand-crafted features." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8297086.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Vyas, Ritesh. "Towards adept hand-crafted features for ocular biometrics." In 2020 8th International Workshop on Biometrics and Forensics (IWBF). IEEE, 2020. http://dx.doi.org/10.1109/iwbf49977.2020.9107952.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Millan Arias, Pablo Andres, and Julian Armando Quiroga Sepulveda. "Deep Learned vs. Hand-Crafted Features for Action Classification." In 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE, 2018. http://dx.doi.org/10.1109/aike.2018.00039.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Schonberger, Johannes L., Hans Hardmeier, Torsten Sattler, and Marc Pollefeys. "Comparative Evaluation of Hand-Crafted and Learned Local Features." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.736.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gonzalez-Sosa, Ester, Ruben Vera-Rodriguez, Julian Fierrez, and Vishal M. Patel. "Millimetre wave person recognition: Hand-crafted vs learned features." In 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA). IEEE, 2017. http://dx.doi.org/10.1109/isba.2017.7947692.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Tianyu, Zhou, Miao Zhenjiang, and Zhang Jianhu. "Combining CNN with Hand-Crafted Features for Image Classification." In 2018 14th IEEE International Conference on Signal Processing (ICSP). IEEE, 2018. http://dx.doi.org/10.1109/icsp.2018.8652428.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Antipov, Grigory, Sid-Ahmed Berrani, Natacha Ruchaud, and Jean-Luc Dugelay. "Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition." In MM '15: ACM Multimedia Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2733373.2806332.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dai, Zhuang, Xinghong Huang, Weinan Chen, Li He, and Hong Zhang. "A Comparison of CNN-Based and Hand-Crafted Keypoint Descriptors." In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8793701.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Hand-crafted' for particular source types:
Journal articles Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography