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ESANN
2006
13 years 9 months ago
2006
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
AMFG
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ICNC
2005
Springer
14 years 1 months ago
2005
Springer
In this work we present the computational algorithm that combines perceptual and cognitive information during the visual search for object features. The algorithm is initially driv...
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CVPR
2011
IEEE
13 years 4 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...