33 search results - page 4 / 7 » A Branch-and-Bound Algorithm to Solve Large Scale Integer Qu... |
127
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ICPR
2000
IEEE
15 years 8 months ago
2000
IEEE
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
123
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AAAI
2006
15 years 5 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
133
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JMLR
2006
15 years 3 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
172
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IOR
2011
14 years 11 months ago
2011
This paper introduces and studies the maximum k-plex problem, which arises in social network analysis and has wider applicability in several important areas employing graph-based ...
130
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
We propose an algorithm for large displacement opti-
cal flow estimation which does not require the commonly
used coarse-to-fine warping strategy. It is based on a
quadratic rel...