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JMLR
2006
124views more  JMLR 2006»
13 years 7 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
ML
2002
ACM
127views Machine Learning» more  ML 2002»
13 years 7 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
CVPR
2009
IEEE
15 years 2 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
ICCV
2009
IEEE
15 years 23 days ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...
ICIP
1999
IEEE
14 years 9 months ago
Compression of Compound Documents
Compound (or mixed) document images contain graphic or textual content along with pictures. They are a very common form of documents, found in magazines, brochures, web-sites etc....
Ricardo L. de Queiroz