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CORR
2008
Springer
113views Education» more  CORR 2008»
14 years 10 months ago
Robustness, Risk, and Regularization in Support Vector Machines
We consider two new formulations for classification problems in the spirit of support vector machines based on robust optimization. Our formulations are designed to build in prote...
Huan Xu, Shie Mannor, Constantine Caramanis
ISCAS
2006
IEEE
112views Hardware» more  ISCAS 2006»
15 years 4 months ago
Fine-grain thermal profiling and sensor insertion for FPGAs
– Increasing logic densities and clock frequencies on FPGAs lead to rapid increase in power density, which translates to higher on-chip temperature. In this paper, we investigate...
Somsubhra Mondal, Rajarshi Mukherjee, Seda Ogrenci...
ICML
2009
IEEE
14 years 7 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Automatic Classification of Photographs and Graphics
In general, digital images can be classified into photographs and computer graphics. This taxonomy is very useful in many applications, such as web image search. However, there ar...
Yuanhao Chen, Zhiwei Li, Mingjing Li, Wei-Ying Ma
NIPS
2001
14 years 11 months ago
Minimax Probability Machine
When constructing a classifier, the probability of correct classification of future data points should be maximized. In the current paper this desideratum is translated in a very ...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...