2295 search results - page 252 / 459 » Learning Overcomplete Representations |
162
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ICCV
1999
IEEE
15 years 11 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
167
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EP
1998
Springer
15 years 10 months ago
1998
Springer
This paper deals with the representation of document models used in the field of document recognition. A novel formalism called generalized n-gram is presented, which is shown to b...
155
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CNL
2009
15 years 7 months ago
2009
This paper presents a general framework called ontographs that relies on a graphical notation and enables the tool-independent and reliable evaluation of human understandability of...
154
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We present a hierarchical feature fusion model for image classification that is constructed by an evolutionary learning algorithm. The model has the ability to combine local patch...
143
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...