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PR
2006
13 years 9 months ago
2006
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
PR
2006
13 years 9 months ago
2006
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
PR
2007
13 years 9 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...
PR
2007
13 years 9 months ago
2007
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
PR
2007
13 years 9 months ago
2007
This paper presents an orientation operator to extract image local orientation features. We show that a proper employment of image integration leads to an unbiased orientation est...