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» The Structure of Visual Spaces
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ECAI
2010
Springer
15 years 4 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
ICASSP
2011
IEEE
14 years 11 months ago
Rapid feature space MLLR speaker adaptation with bilinear models
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
Shilei Zhang, Peder A. Olsen, Yong Qin
218
Voted
ICC
2011
IEEE
217views Communications» more  ICC 2011»
14 years 7 months ago
Controlling LDPC Absorbing Sets via the Null Space of the Cycle Consistency Matrix
— This paper focuses on controlling absorbing sets for a class of regular LDPC codes, known as separable, circulantbased (SCB) codes. For a specified circulant matrix, SCB codes...
Jiadong Wang, Lara Dolecek, Richard D. Wesel
205
Voted
ECCV
2006
Springer
16 years 9 months ago
Covariant Derivatives and Vision
Abstract. We describe a new theoretical approach to Image Processing and Vision. Expressed in mathemetical terminology, in our formalism image space is a fibre bundle, and the imag...
Todor Georgiev
225
Voted
CIRA
2007
IEEE
151views Robotics» more  CIRA 2007»
16 years 1 months ago
Image Clustering Using Visual and Text Keywords
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
Rajeev Agrawal, Changhua Wu, William I. Grosky, Fa...