825 search results - page 13 / 165 » Learning Parts-Based Representations of Data |
102
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WAPCV
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
121
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
GECCO
2008
Springer
15 years 23 days ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
104
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ICANN
2010
Springer
14 years 10 months ago
2010
Springer
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
119
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ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...