5771 search results - page 91 / 1155 » Learning similarity space |
140
Voted
KAIS
2006
15 years 17 days ago
2006
Outlier detection techniques are widely used in many applications such as credit card fraud detection, monitoring criminal activities in electronic commerce, etc. These application...
101
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PREMI
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
103
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TNN
1998
15 years 8 days ago
1998
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
83
Voted
ML
2007
ACM
15 years 4 days ago
2007
ACM
In this paper, we continue our study of learning an optimal kernel in a prescribed convex set of kernels, [18]. We present a reformulation of this problem within a feature space e...
89
Voted
NIPS
1998
15 years 2 months ago
1998
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...