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188
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
181
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
174
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
173
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
192
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...