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Relevant bibliographies by topics / Object dimension

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Journal articles

Academic literature on the topic 'Object dimension'

Author: Grafiati

Published: 11 March 2023

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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.

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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 th

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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.

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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

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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.

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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,

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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.

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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-selecti

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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.

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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). Moreo

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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.

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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 sa

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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.

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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 [Fo

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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.

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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 architectu

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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.

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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

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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.

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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 ca

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