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» On a vector q-d algorithm
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ALT
2004
Springer
16 years 1 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
SEKE
2007
Springer
15 years 10 months ago
An Approach to Software Testing of Machine Learning Applications
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
Chris Murphy, Gail E. Kaiser, Marta Arias
FGR
2006
IEEE
131views Biometrics» more  FGR 2006»
15 years 10 months ago
Haar Features for FACS AU Recognition
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
Jacob Whitehill, Christian W. Omlin
ISVC
2005
Springer
15 years 10 months ago
A Vectorial Self-dual Morphological Filter Based on Total Variation Minimization
We present a vectorial self dual morphological filter. Contrary to many methods, our approach does not require the use of an ordering on vectors. It relies on the minimization of ...
Jérôme Darbon, Sylvain Peyronnet
ISSAC
2004
Springer
91views Mathematics» more  ISSAC 2004»
15 years 9 months ago
Hyperexponential solutions of finite-rank ideals in orthogonal ore rings
An orthogonal Ore ring is an abstraction of common properties of linear partial differential, shift and q-shift operators. Using orthogonal Ore rings, we present an algorithm for...
George Labahn, Ziming Li