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» A Robust Minimax Approach to Classification
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ICFP
2006
ACM
14 years 9 months ago
An object-oriented approach to datatype-generic programming
Datatype-generic programming (DGP) is the next step beyond abstracting over types using parametric polymorphism, which is often called "genericity" in object-oriented la...
Adriaan Moors, Frank Piessens, Wouter Joosen
SIAMCOMP
2002
124views more  SIAMCOMP 2002»
13 years 8 months ago
The Nonstochastic Multiarmed Bandit Problem
Abstract. In the multiarmed bandit problem, a gambler must decide which arm of K nonidentical slot machines to play in a sequence of trials so as to maximize his reward. This class...
Peter Auer, Nicolò Cesa-Bianchi, Yoav Freun...
CVPR
2007
IEEE
14 years 11 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals
ICCV
2009
IEEE
1038views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Combining efficient object localization and image classification
In this paper we present a combined approach for ob- ject localization and classification. Our contribution is two- fold. (a) A contextual combination of localization and clas- ...
Hedi Harzallah, Frederic Jurie, Cordelia Schmid
CVPR
2005
IEEE
14 years 11 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super