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JMLR
2006
104views more  JMLR 2006»
15 years 23 days ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
77
Voted
TSP
2008
103views more  TSP 2008»
15 years 21 days ago
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
112
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Whole word discriminative point process models
This paper introduces a discriminative extension to whole-word point process modeling techniques. Meant to circumvent the strong independence assumptions of their generative prede...
Aren Jansen
104
Voted
JCPHY
2011
87views more  JCPHY 2011»
14 years 3 months ago
A fast directional algorithm for high-frequency electromagnetic scattering
This paper is concerned with the fast solution of high frequency electromagnetic scattering problems using the boundary integral formulation. We extend the O(N log N) directional ...
Paul Tsuji, Lexing Ying
103
Voted
CVPR
2010
IEEE
15 years 4 months ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu