5109 search results - page 596 / 1022 » On Learning Limiting Programs |
215
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CASES
2010
ACM
15 years 4 months ago
2010
ACM
Dynamic binary translators (DBTs) are becoming increasingly important because of their power and flexibility. However, the high memory demands of DBTs present an obstacle for all ...
170
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TON
2012
13 years 9 months ago
2012
—Regular expressions (RegExes) are widely used, yet their inherent complexity often limits the total number of RegExes that can be detected using a single chip for a reasonable t...
198
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
172
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
187
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...