6113 search results - page 111 / 1223 » Learning Features for Tracking |
108
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
115
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NIPS
2008
15 years 3 months ago
2008
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
166
Voted
JMLR
2012
13 years 4 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
132
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ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
125
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...