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ECAI
2004
Springer
14 years 2 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
IEEEPACT
2003
IEEE
14 years 2 months ago
Compilation, Architectural Support, and Evaluation of SIMD Graphics Pipeline Programs on a General-Purpose CPU
Graphics and media processing is quickly emerging to become one of the key computing workloads. Programmable graphics processors give designers extra flexibility by running a sma...
Mauricio Breternitz Jr., Herbert H. J. Hum, Sanjee...
APPROX
2010
Springer
176views Algorithms» more  APPROX 2010»
13 years 10 months ago
Approximation Algorithms for Min-Max Generalization Problems
Abstract. We provide improved approximation algorithms for the minmax generalization problems considered by Du, Eppstein, Goodrich, and Lueker [1]. In min-max generalization proble...
Piotr Berman, Sofya Raskhodnikova
IJCAI
2001
13 years 10 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
ICIP
1998
IEEE
14 years 10 months ago
Multi-Image Matching for a General Motion Stereo Camera Model
Motion stereo is to extract the 3-0 information of an object from images of a moving camera, using geometric relationships between corresponding points. This paper presents an acc...
Ja Seong Ku, Kyoung Mu Lee, Sang Uk Lee