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139
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ICONIP
2008
15 years 5 months ago
2008
We present a category learning vector quantization (cLVQ) approach for incremental and life-long learning of multiple visual categories where we focus on approaching the stability-...
273
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ACCV
2010
Springer
15 years 2 days ago
2010
Springer
We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...
163
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...
115
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
125
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...