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1 - 6 of 6
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A new image retrieval model based on monogenic signal representation
Zeng Z., Song L., Zheng Q., Chi Y. Journal of Visual Communication and Image Representation 33(C): 85-93, 2015. Type: Article
The directional monogenic binary pattern (DMBP), a new texture descriptor to improve the description of the structure and orientation of the texture in an image, which in turn will improve image retrieval results, is proposed in this p...
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Apr 12 2016 |
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Entropic risk minimization for nonparametric estimation of mixing distributions
Watanabe K., Ikeda S. Machine Learning 99(1): 119-136, 2015. Type: Article
The paper introduces a new method for nonparametric estimation of mixing distributions, which is a generalization of the maximum likelihood estimation (MLE) of Lindsay [1,2]. The method aims at minimizing a function, named entropic ris...
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Aug 31 2015 |
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Supervised feature subset selection with ordinal optimization
Feng D., Chen F., Xu W. Knowledge-Based Systems 56123-140, 2014. Type: Article
The field of feature selection deals with research on how to extract the best features that represent a given dataset, such that algorithms applied later on this selected subset of features can obtain improved performances. A new algor...
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May 26 2015 |
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 A practical introduction to computer vision with OpenCV
Dawson-Howe K., Wiley Publishing, Chichester, UK, 2014. 234 pp. Type: Book (978-1-118848-45-6)
Computer vision is a field dealing with developing methods for the automatic acquisition, processing, analyzing, and understanding of images and videos by computers, in order to produce decisions that help humans in their daily tasks. ...
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Aug 12 2014 |
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People reidentification in surveillance and forensics: a survey
Vezzani R., Baltieri D., Cucchiara R. ACM Computing Surveys 46(2): 1-37, 2013. Type: Article
This survey paper presents the challenges and existing solutions for people reidentification, which aims at assigning the same identifier to all instances of a particular individual captured in a series of images or videos, even after ...
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Mar 14 2014 |
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Efficient online learning for multitask feature selection
Yang H., Lyu M., King I. ACM Transactions on Knowledge Discovery from Data 7(2): 1-27, 2013. Type: Article
Web search algorithms such as multitask feature selection (MTFS) aim to efficiently learn explanatory features from multiple related user tasks simultaneously. The algorithms extract shared information from these tasks and determine th...
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Oct 2 2013 |
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