744 search results - page 40 / 149 » Information-theoretic metric learning |
ICIP
2008
IEEE
14 years 11 months ago
2008
IEEE
A new algorithm for the design of complex features, to be used in the discriminant saliency approach to object classification, is presented. The algorithm consists of sequential r...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
—The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy ...
IJCAI
2007
13 years 11 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
CORR
2006
Springer
13 years 9 months ago
2006
Springer
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
ECSQARU
2001
Springer
14 years 2 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...