Academic literature on the topic 'Object dimension'

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 'Object dimension.'

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 "Object dimension"

1

Szemenyei, Marton, and Ferenc Vajda. "Dimension Reduction for Objects Composed of Vector Sets." International Journal of Applied Mathematics and Computer Science 27, no. 1 (2017): 169–80. http://dx.doi.org/10.1515/amcs-2017-0012.

Full text
Abstract:
Abstract Dimension reduction and feature selection are fundamental tools for machine learning and data mining. Most existing methods, however, assume that objects are represented by a single vectorial descriptor. In reality, some description methods assign unordered sets or graphs of vectors to a single object, where each vector is assumed to have the same number of dimensions, but is drawn from a different probability distribution. Moreover, some applications (such as pose estimation) may require the recognition of individual vectors (nodes) of an object. In such cases it is essential that the nodes within a single object remain distinguishable after dimension reduction. In this paper we propose new discriminant analysis methods that are able to satisfy two criteria at the same time: separating between classes and between the nodes of an object instance. We analyze and evaluate our methods on several different synthetic and real-world datasets.
APA, Harvard, Vancouver, ISO, and other styles
2

Purwaningsih, Ratna, Zettira Ameliafidhoh, Aries Susanty, Susatyo Nugroho W Pramono, and Febrina Agusti. "Sustainability Status Assessment of The Borobudur Temple using The Rap-Tourism with Multi-Dimensional Scaling (MDS) Approach." E3S Web of Conferences 317 (2021): 05004. http://dx.doi.org/10.1051/e3sconf/202131705004.

Full text
Abstract:
Visitors’ number of Indonesian-tourism increases every year and impacts the sustainability of the tourism object. Borobudur Temple is one of the most popular tourist objects in Indonesia located in Magelang, Central Java. This research aims to assess the Borobudur temple tourist destination’s sustainability status and identify indicators that need improvement to increase its sustainability index. The data processing used the Rap-tourism with a Multidimensional Scaling (MDS) approach. The results show the sustainability index value is 69,84, categorize as moderate. The sustainability index was formed from four dimensions, the environmental dimension index 66,94; economic dimension index 72,62; sociocultural dimensions index 72,76; and institutional dimensions index 69,27. A recommendation was generated by an interview with tourism object management and then selected based on sensitive indicators of each dimension (highest RMS value). Selected recommendations are a rearrangement of plants, developing complaint handling services, constructing outbound rides and flying foxes, and promoting the complementary tourism and attractions at Borobudur Temple.
APA, Harvard, Vancouver, ISO, and other styles
3

Patel, Chirag, Dulari Bhatt, Urvashi Sharma, et al. "DBGC: Dimension-Based Generic Convolution Block for Object Recognition." Sensors 22, no. 5 (2022): 1780. http://dx.doi.org/10.3390/s22051780.

Full text
Abstract:
The object recognition concept is being widely used a result of increasing CCTV surveillance and the need for automatic object or activity detection from images or video. Increases in the use of various sensor networks have also raised the need of lightweight process frameworks. Much research has been carried out in this area, but the research scope is colossal as it deals with open-ended problems such as being able to achieve high accuracy in little time using lightweight process frameworks. Convolution Neural Networks and their variants are widely used in various computer vision activities, but most of the architectures of CNN are application-specific. There is always a need for generic architectures with better performance. This paper introduces the Dimension-Based Generic Convolution Block (DBGC), which can be used with any CNN to make the architecture generic and provide a dimension-wise selection of various height, width, and depth kernels. This single unit which uses the separable convolution concept provides multiple combinations using various dimension-based kernels. This single unit can be used for height-based, width-based, or depth-based dimensions; the same unit can even be used for height and width, width and depth, and depth and height dimensions. It can also be used for combinations involving all three dimensions of height, width, and depth. The main novelty of DBGC lies in the dimension selector block included in the proposed architecture. Proposed unoptimized kernel dimensions reduce FLOPs by around one third and also reduce the accuracy by around one half; semi-optimized kernel dimensions yield almost the same or higher accuracy with half the FLOPs of the original architecture, while optimized kernel dimensions provide 5 to 6% higher accuracy with around a 10 M reduction in FLOPs.
APA, Harvard, Vancouver, ISO, and other styles
4

Szwed, Marcin, Knarik Bagdasarian, Barak Blumenfeld, Omri Barak, Dori Derdikman, and Ehud Ahissar. "Responses of Trigeminal Ganglion Neurons to the Radial Distance of Contact During Active Vibrissal Touch." Journal of Neurophysiology 95, no. 2 (2006): 791–802. http://dx.doi.org/10.1152/jn.00571.2005.

Full text
Abstract:
Rats explore their environment by actively moving their whiskers. Recently, we described how object location in the horizontal (front–back) axis is encoded by first-order neurons in the trigeminal ganglion (TG) by spike timing. Here we show how TG neurons encode object location along the radial coordinate, i.e., from the snout outward. Using extracellular recordings from urethane-anesthetized rats and electrically induced whisking, we found that TG neurons encode radial distance primarily by the number of spikes fired. When an object was positioned closer to the whisker root, all touch-selective neurons recorded fired more spikes. Some of these cells responded exclusively to objects located near the base of whiskers, signaling proximal touch by an identity (labeled-line) code. A number of tonic touch-selective neurons also decreased delays from touch to the first spike and decreased interspike intervals for closer object positions. Information theory analysis revealed that near-certainty discrimination between two objects separated by 30% of the length of whiskers was possible for some single cells. However, encoding reliability was usually lower as a result of large trial-by-trial response variability. Our current findings, together with the identity coding suggested by anatomy for the vertical dimension and the temporal coding of the horizontal dimension, suggest that object location is encoded by separate neuronal variables along the three spatial dimensions: temporal for the horizontal, spatial for the vertical, and spike rate for the radial dimension.
APA, Harvard, Vancouver, ISO, and other styles
5

Jiang, Hao. "Effects of Transient and Nontransient Changes of Surface Feature on Object Correspondence." Perception 49, no. 4 (2020): 452–67. http://dx.doi.org/10.1177/0301006620913238.

Full text
Abstract:
Object correspondence is a fundamental problem in perception. Classic theories hold that the computation of correspondence is solely based on spatiotemporal information. Recent research showed that surface features also play an important role. However, the surface features of objects in many studies did not change throughout a trial. This study investigated the effect of feature change on object correspondence using the object-reviewing paradigm. Two moving objects underwent transient feature changes on color dimension (Experiment 1A) or a combination of three dimensions (Experiment 2A). Moreover, the objects moved behind four occluders to make the feature change nontransient (Experiments 1B and 2B). Object-specific preview benefits were reduced or eliminated when feature changes were transient, but the benefits were not affected when feature changes were nontransient. The effects of transient versus nontransient changes of surface feature in object correspondence are discussed.
APA, Harvard, Vancouver, ISO, and other styles
6

Arbour, Ghislain. "Frameworks for program evaluation: Considerations on research, practice, and institutions." Evaluation 26, no. 4 (2020): 422–37. http://dx.doi.org/10.1177/1356389020920890.

Full text
Abstract:
The term “evaluation framework” and other associated terms are common in the practice and the discipline of program evaluation. These terms correspond to a variety of meanings across contexts and organizations and, thus, tend to lack overall consistency. In response, this article provides a model to analyze frameworks for program evaluation organized around four dimensions. The model states that a framework for evaluation is an intellectual framework made of concepts and/or theories (first dimension: types of ideas) about an object related to evaluation (second dimension: object), where the said concepts and theories can be positive and/or normative (third dimension: analytical perspective). These three dimensions provide the means to describe, explain, or judge an evaluation-related matter. A fourth and optional dimension, the institutional character of a framework, allows an evaluation framework to become a form of regulation for behaviors related to program evaluation (fourth dimension: institutional dimension).
APA, Harvard, Vancouver, ISO, and other styles
7

Song, Weiling, Tiwei Zhao, and Zhaoyong Huang. "Homological Dimensions Relative to Special Subcategories." Algebra Colloquium 28, no. 01 (2021): 131–42. http://dx.doi.org/10.1142/s1005386721000122.

Full text
Abstract:
Let [Formula: see text] be an abelian category, [Formula: see text] an additive, full and self-orthogonal subcategory of [Formula: see text] closed under direct summands, [Formula: see text] the right Gorenstein subcategory of [Formula: see text] relative to [Formula: see text], and [Formula: see text] the left orthogonal class of [Formula: see text]. For an object [Formula: see text] in [Formula: see text], we prove that if [Formula: see text] is in the right 1-orthogonal class of [Formula: see text], then the [Formula: see text]-projective and [Formula: see text]-projective dimensions of [Formula: see text] are identical; if the [Formula: see text]-projective dimension of [Formula: see text] is finite, then the [Formula: see text]-projective and [Formula: see text]-projective dimensions of [Formula: see text] are identical. We also prove that the supremum of the [Formula: see text]-projective dimensions of objects with finite [Formula: see text]-projective dimension and that of the [Formula: see text]-projective dimensions of objects with finite [Formula: see text]-projective dimension coincide. Then we apply these results to the category of modules.
APA, Harvard, Vancouver, ISO, and other styles
8

Ardiansyah; C. Sudianto Aly, Iqbal. "THE EXPRESSION OF NATION-BUILDING AND THE CHARACTER-BUILDING SPIRIT AS FORMS OF NATIONAL IDENTITY AS OBSERVED IN THE ISTIQLAL MOSQUE’S ARCHITECTURE." Riset Arsitektur (RISA) 1, no. 04 (2017): 399–412. http://dx.doi.org/10.26593/risa.v1i04.2752.399-412.

Full text
Abstract:
Abstract- A political regime generally possesses an identity and has insight into nationally idealistic cultural values. Its expression can be observed in the art and physical architecture that blossoms in its era. This insight gives birth to national identity. The formation of national identity itself originated from several dimensions, namely the sub-national dimension, the personal dimension, and the supra-national dimension. In the transition between the Netherland-East Indies and the Republic of Indonesia, Indonesia as a new country possessed ideals in the formation of physical architectures that can represent its national identity. This insight is realized in detail within nation-building and character-building ideas within several mega-projects pioneered by the Old-Order government. One of them was the Istiqlal Mosque as a national house of worship. The expression of Istiqlal Mosque architecture cannot be separated from the dimensions of national identity formation in architecture. The focus of this research is on the observation of Istiqlal Mosque architecture. Indicators of the national identity’s expression in Istiqlal Mosque architecture are: the discussion of national-identity dimensions in architecture (national-identity dimension – sub-national dimension, national-identity dimension – personal identity and national-identity dimension- supra-national identity). The discussions of expression in architecture that can be achieved through visual composition formation are (a) domination, (b) repetition, and (C) continuity in composition of one architectural object. The object of architecture was further examined, arranged by form and material, general design principles, contextual relations, and physical, semantic and spatial organization of an architectural object. The Istiqlal Mosque is one example of an architectural product from the previous political regime that can profoundly and critically sharpen our thoughts concerning the Indonesian nation’s identity on the national and state level. Keywords: national identity, nation-building and character-building, sub-national dimension, personal dimension, supra-national dimension, Istiqlal Mosque
APA, Harvard, Vancouver, ISO, and other styles
9

Lederman, Susan J., Roberta L. Klatzky, and Catherine L. Reed. "Constraints on Haptic Integration of Spatially Shared Object Dimensions." Perception 22, no. 6 (1993): 723–43. http://dx.doi.org/10.1068/p220723.

Full text
Abstract:
A study of the haptic integration of texture, shape, and hardness of nonplanar solid objects is reported. In experiment 1 the relative discriminability of the objects along each dimension was assessed. While levels of texture and shape were equally discriminable, hardness discriminations proved considerably more difficult. The extent of dimensional integration in a speeded classification task when both dimensions could be extracted from the same local patch was investigated in experiments 2 and 3. In experiment 2 subjects were initially encouraged to attend to a nontargeted dimension covarying with a targeted one. The nontargeted dimension was subsequently held constant (withdrawn). In experiment 3 dimensional variation was introduced which was uncorrelated with the targeted property during the course of categorization and hence discouraged subjects from attending to the nontargeted property. The results of these two studies converged in showing evidence of bidirectional dimensional integration between texture and shape and unidirectional integration when hardness was the targeted dimension. The failure to integrate hardness into categorization based on texture or shape was attributed to the difficulty of hardness discriminations. Integration effects in experiment 3 were not consistently smaller than those in experiment 2, which suggests a strong involuntary component to dimensional integration. The results of an analysis of the accompanying hand movements are interpreted in terms of constraints on dimensional integration. Implications for visual, cross-modal, and two-handed codimensional processing are also discussed.
APA, Harvard, Vancouver, ISO, and other styles
10

Lin, Cong, and Chi Man Pun. "Adaptive Image Feature Reduction for Object Tracking." Advanced Materials Research 989-994 (July 2014): 3605–8. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3605.

Full text
Abstract:
A novel adaptive image feature reduction approach for object tracking using vectorized texture feature is proposed in this paper. Our contributions are three-fold: 1) a statistical discriminative appearance model using texture feature was proposed. 2) Majority of dimensions of the features are removed by judging their errors of the chosen distribution model. The remaining dimensions are most discriminative ones for classification task. The dimension reduction has advantages of reducing the computational cost in classification stage. 3) An adaptive learning rate was proposed to handle drifts caused by long term occlusion. Preliminary experimental results are satisfactory and compared to state-of-the-art object tracking methods.
APA, Harvard, Vancouver, ISO, and other styles
More sources
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!