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Relevant bibliographies by topics / Multi-labels / Dissertations / Theses

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Dissertations / Theses on the topic 'Multi-labels'

Author: Grafiati

Published: 24 August 2024

Last updated: 19 July 2025

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Consult the top 19 dissertations / theses for your research on the topic 'Multi-labels.'

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1

Seddighian, Pegah. "Optical Packet Switching using Multi-Wavelength Labels." Doctoral thesis, Université Laval, 2008. http://www.theses.ulaval.ca/2008/25239/25239.pdf.

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2

VanValkenburg, Schuyler. "Defying Labels: Richmond NOW’s Multi-Generational Dynamism." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/2203.

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In the late 1960s a group of women became interested in forming a chapter of the National Organization for Women (NOW) in Richmond. These women, led by Zelda Nordlinger and Holt Carlton, followed a pragmatic, big-tent approach to women’s activism. This ideological and tactical openness defies traditional historical labels as these women fluidly moved through organizations and tactics in order to gain a stronger local following. Richmond’s NOW chapter, while staying attuned to the national organization’s platform, remained relatively autonomous and parochial in its tactics and pursuits. Fur

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3

Smida, F. A. "Photochemical harpoons : covalent labels for multi-protein complexes." Thesis, Nottingham Trent University, 2013. http://irep.ntu.ac.uk/id/eprint/69/.

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The identification of the biomolecular interaction partners of small bioactive molecules is a fundamental problem in drug discovery and cell biology. This thesis describes the development of fluorescent chemical probes to identify the biomolecular targets of the known organophosphate toxin, phenyl saligenin phosphate (PSP), and the cardioprotective agent diazoxide. PSP is an organophosphate toxin that irreversibly inhibits hydrolase enzymes such as trypsin and chymotrypsin along with the common organophosphate target acetylcholine esterase. PSP is also suspected of affecting many other cell fu

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4

Arens, Maxime. "Apprentissage actif multi-labels pour des architectures transformers." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES052.

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L'annotation des données est cruciale pour l'apprentissage automatique, notamment dans les domaines techniques, où la qualité et la quantité des données annotées affectent significativement l'efficacité des modèles entraînés. L'utilisation de personnel humain est coûteuse, surtout lors de l'annotation pour la classification multi-labels, les instances pouvant être associées à plusieurs labels. L'apprentissage actif (AA) vise à réduire les coûts d'annotation en sélectionnant intelligemment des instances pour l'annotation, plutôt que de les annoter de manière aléatoire. L'attention récente porté

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5

Li, Xile. "Real-time Multi-face Tracking with Labels based on Convolutional Neural Networks." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36707.

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This thesis presents a real-time multi-face tracking system, which is able to track multiple faces for live videos, broadcast, real-time conference recording, etc. The real-time output is one of the most significant advantages. Our proposed tracking system is comprised of three parts: face detection, feature extraction and tracking. We deploy a three-layer Convolutional Neural Network (CNN) to detect a face, a one-layer CNN to extract the features of a detected face and a shallow network for face tracking based on the extracted feature maps of the face. The performance of our multi-face

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6

Kraus, Vivien. "Apprentissage semi-supervisé pour la régression multi-labels : application à l’annotation automatique de pneumatiques." Thesis, Lyon, 2021. https://tel.archives-ouvertes.fr/tel-03789608.

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Avec l’avènement et le développement rapide des technologies numériques, les données sont devenues à la fois un bien précieux et très abondant. Cependant, avec une telle profusion, se posent des questions relatives à la qualité et l’étiquetage de ces données. En effet, à cause de l’augmentation des volumes de données disponibles, alors que le coût de l’étiquetage par des experts humains reste très important, il est de plus en plus nécessaire de pouvoir renforcer l’apprentissage semi-supervisé grâce l’exploitation des données nonlabellisées. Ce problème est d’autant plus marqué dans le cas de l

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7

Laghmari, Khalil. "Classification multi-labels graduée : découverte des relations entre les labels, et adaptation à la reconnaissance des odeurs et au contexte big data des systèmes de recommandation." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS032/document.

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En classification multi-labels graduée (CMLG), chaque instance est associée à un ensemble de labels avec des degrés d’association gradués. Par exemple, une même molécule odorante peut être associée à une odeur forte ‘musquée’, une odeur modérée ‘animale’, et une odeur faible ‘herbacée’. L’objectif est d’apprendre un modèle permettant de prédire l’ensemble gradué de labels associé à une instance à partir de ses variables descriptives. Par exemple, prédire l’ensemble gradué d’odeurs à partir de la masse moléculaire, du nombre de liaisons doubles, et de la structure de la molécule. Un autre domai

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8

Laghmari, Khalil. "Classification multi-labels graduée : découverte des relations entre les labels, et adaptation à la reconnaissance des odeurs et au contexte big data des systèmes de recommandation." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS032.

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En classification multi-labels graduée (CMLG), chaque instance est associée à un ensemble de labels avec des degrés d’association gradués. Par exemple, une même molécule odorante peut être associée à une odeur forte ‘musquée’, une odeur modérée ‘animale’, et une odeur faible ‘herbacée’. L’objectif est d’apprendre un modèle permettant de prédire l’ensemble gradué de labels associé à une instance à partir de ses variables descriptives. Par exemple, prédire l’ensemble gradué d’odeurs à partir de la masse moléculaire, du nombre de liaisons doubles, et de la structure de la molécule. Un autre domai

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9

Chazelle, Thomas. "Influence sociale sur la représentation corporelle : Approche expérimentale de l'effet des médias et des labels de poids sur des jugements de corpulence." Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALS063.

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La représentation corporelle est l’ensemble des fonctions cognitives permettant le suivi de l’état du corps. Elle est impliquée dans des situations diverses, comme la perception des dimensions physiques du corps, l’action, ou encore la génération d’attitudes à propos du corps. Pour réaliser ces fonctions, elle se base de manière flexible sur un ensemble d’informations sensorimotrices, ainsi que sur les croyances, attentes et émotions de l’individu. Parmi les sources d’informations disponibles à propos du corps, l’influence sociale peut être un facteur de risque, de maintien, et de sévérité des

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10

Benkarim, Mohamed Oualid. "Multi-atlas segmentation and analysis of the fetal brain in ventriculomegaly." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663747.

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Nowadays, imaging of the human brain is vastly used in clinical settings and by the neuroscientific research community. There is an ever-increasing demand for novel biomedical image analysis approaches and tools to study the brain from its early intrauterine stage through adolescence to adulthood. The intrauterine period, in particular, is a crucial stage for the study of early neurodevelopmental processes. The idiosyncratic nature of the fetal brain poses numerous challenges and asks for the development of new techniques that take into consideration the peculiarities of in utero neurodevelopm

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11

Pai, Vibha. "Evaluation of Changes between the Material and Resource Category of LEED v4.0 and v3.0 as it Pertains to New Construction and Major Renovations." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin151203942639125.

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12

Wei, Zhihua. "The research on chinese text multi-label classification." Thesis, Lyon 2, 2010. http://www.theses.fr/2010LYO20025/document.

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Text Classification (TC) which is an important field in information technology has many valuable applications. When facing the sea of information resources, the objects of TC are more complicated and diversity. The researches in pursuit of effective and practical TC technology are fairly challenging. More and more researchers regard that multi-label TC is more suited for many applications. This thesis analyses the difficulties and problems in multi-label TC and Chinese text representation based on a mass of algorithms for single-label TC and multi-label TC. Aiming at high dimensionality in fea

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13

Mayouf, Mouna Sabrine. "Intégration de connaissances de haut-niveau dans un système d'apprentissage par réseau de neurones pour la classification d'images." Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30341.

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Les réseaux neuronaux ont fait preuve d'avancées remarquables dans des tâches réputées difficiles, comme la classification automatique d'images ou le traitement du langage naturel. Toutefois, leur nature de boîte noire limite leur explicabilité et entrave leur capacité à exploiter des connaissances extérieures aux données. Cette thèse a pour but d'explorer et de proposer des techniques d'intégration des connaissances de haut niveau dans les réseaux neuronaux afin d'améliorer les performances et l'interprétabilité. La première partie de la thèse est centrée sur l'intégration de connaissances au

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14

Valera, Silvia. "PELDOR in multi-spin systems : from model systems synthesis to biological applications." Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/16960.

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Pulsed electron-electron double resonance (PELDOR) is an emerging technique for nanometre distance measurements in nano-sized assemblies and between specific sites of molecules. Most commonly nitroxide radicals are used as probes for EPR distance measurements because they are easy to introduce in biological systems such as soluble and membrane proteins or nucleic acids. PELDOR distance measurements currently rely on data processing software which has been proven to accurately extract inter-spin distances from the dipolar coupling between two paramagnetic centres. However, when the dipolar coup

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15

He, Yuanye, and 何原野. "Identifying Labels from Multi-label Texts Using Deep Learning." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/xh4hf3.

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碩士<br>元智大學<br>資訊工程學系<br>105<br>With the development of society, more and more attention has been paid to psychiatric health and psychiatric illness. When people are depressed or suffer from psychiatric illness, it is an efficient and effective way to seek help from the Internet to help them to alleviate their suffering. Many psychiatric health websites have established forums and blogs to help people share their psychological problems with other users and psychologists. Other users and psychologists can give advice on how to respond to these psychological problems. Psychiatric health Web site

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16

Chung, Chih-Heng, and 鍾至衡. "Improving Semi-supervised Multi-label Classification by Training Labels Recovery with Consensus Clustering." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/u7ekqf.

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博士<br>國立臺灣科技大學<br>資訊工程系<br>107<br>The problem of semi-supervised classification with non-uniformly distributed incomplete labels is frequently encountered in real world applications. The lack of positive information, the absence of negative examples and the non-uniform distribution of missing labels lead to the diminished accuracy of multi-label classification results. In this research, we propose the Semi-supervised Incomplete Training Label Recovery (SITLR) algorithm to solve the semi-supervised multi-label classification with incompletely labeled training data. With the proposed weight adju

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17

(9187466), Bharath Kumar Comandur Jagannathan Raghunathan. "Semantic Labeling of Large Geographic Areas Using Multi-Date and Multi-View Satellite Images and Noisy OpenStreetMap Labels." Thesis, 2020.

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<div>This dissertation addresses the problem of how to design a convolutional neural network (CNN) for giving semantic labels to the points on the ground given the satellite image coverage over the area and, for the ground truth, given the noisy labels in OpenStreetMap (OSM). This problem is made challenging by the fact that -- (1) Most of the images are likely to have been recorded from off-nadir viewpoints for the area of interest on the ground; (2) The user-supplied labels in OSM are frequently inaccurate and, not uncommonly, entirely missing; and (3) The size of the area covered on the gro

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18

Kai-ShengChen and 陳楷升. "Investigation of Spectral-Amplitude Coding Labels for Packet-Switching Applications over Generalized Multi-Protocol Label Switching Network." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/fa9e72.

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博士<br>國立成功大學<br>電腦與通信工程研究所<br>105<br>Internet protocol (IP) is the most widely used protocol for high-bandwidth data transmission and it has been thought as a solution to provide different high-quality services in the future. As the internet traffic increases rapidly, the network size is extended. Multi-protocol label switching (MPLS) is proposed to reduce the IP processing time because only label is processed during the packet transmission between nodes. Although MPLS partially releases the burden of IP network, packet routing still faces a bottleneck when the number of users is large. Optica

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19

Mandal, Devraj. "Cross-Modal Retrieval and Hashing." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4685.

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The objective of cross-modal retrieval is to retrieve relevant items from one modality (say image), given a query from another modality (say textual document). Cross-modal retrieval has various applications like matching image-sketch, audio-visual, near infrared-RGB, etc. Different feature representations of the two modalities, absence of paired correspondences, etc. makes this a very challenging problem. In this thesis, we have extensively looked at the cross-modal retrieval problem from different aspects and proposed methodologies to address them. • In the first work, we propose a novel f

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