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178
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ICIP
2003
IEEE
16 years 8 months ago
2003
IEEE
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
182
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ICIP
2009
IEEE
16 years 8 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
174
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CCIA
2007
Springer
15 years 11 months ago
2007
Springer
Case-Based Reasoning (CBR) is a learning approach that solves current situations by reusing previous solutions that are stored in a case base. In the CBR cycle the reuse step plays...
264
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
232
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...