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SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
14 years 11 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
JMLR
2010
151views more  JMLR 2010»
14 years 4 months ago
The Feature Selection Path in Kernel Methods
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
Fuxin Li, Cristian Sminchisescu
ICASSP
2011
IEEE
14 years 1 months ago
Learning vocal tract variables with multi-task kernels
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...
Hachem Kadri, Emmanuel Duflos, Philippe Preux
ICCV
2011
IEEE
13 years 9 months ago
A Graph-matching Kernel for Object Categorization
This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflec...
Olivier Duchenne, Armand Joulin, Jean Ponce
CVPR
2012
IEEE
12 years 12 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...