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ALT
2004
Springer
14 years 6 months ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List
ICML
2005
IEEE
14 years 9 months ago
Learning predictive representations from a history
Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
Eric Wiewiora
COCO
2010
Springer
149views Algorithms» more  COCO 2010»
14 years 2 days ago
The Gaussian Surface Area and Noise Sensitivity of Degree-d Polynomial Threshold Functions
Abstract. We prove asymptotically optimal bounds on the Gaussian noise sensitivity of degree-d polynomial threshold functions. These bounds translate into optimal bounds on the Gau...
Daniel M. Kane
ICPR
2008
IEEE
14 years 10 months ago
EK-SVD: Optimized dictionary design for sparse representations
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
Raazia Mazhar, Paul D. Gader

Book
518views
15 years 7 months ago
Convex Optimization
Book web site includes links to a full course, software, and other material.
Stephen Boyd, Lieven Vandenberghe