780 search results - page 12 / 156 » Learning Mid-Level Features For Recognition |
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
ICDAR
2003
IEEE
14 years 25 days ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
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CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
PAMI
2007
13 years 7 months ago
2007
—We introduce a new general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the orga...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of...