1454 search results - page 127 / 291 » Learning with cost intervals |
177
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SDM
2007
SIAM
15 years 7 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
134
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
174
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PAKDD
2011
ACM
14 years 8 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
161
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MICCAI
2007
Springer
16 years 6 months ago
2007
Springer
Abstract. We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of t...
155
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
Statistical and computational concerns have motivated parameter estimators based on various forms of likelihood, e.g., joint, conditional, and pseudolikelihood. In this paper, we ...