5092 search results - page 67 / 1019 » Clustering the Feature Space |
162
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NIPS
2008
15 years 5 months ago
2008
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
127
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ICMCS
2005
IEEE
15 years 10 months ago
2005
IEEE
The curvature scale space (CSS) technique, which is also part of the MPEG-7 standard is a robust method to describe complex shapes.The central idea is to analyze the curvature of ...
142
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MLCW
2005
Springer
15 years 9 months ago
2005
Springer
Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Lea...
186
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ARCS
2012
Springer
14 years 6 hour ago
2012
Springer
: This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By...
168
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...