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CORR
2012
Springer
232views Education» more  CORR 2012»
12 years 5 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
ICCV
2007
IEEE
14 years 12 months ago
Real-Time Visibility-Based Fusion of Depth Maps
We present a viewpoint-based approach for the quick fusion of multiple stereo depth maps. Our method selects depth estimates for each pixel that minimize violations of visibility ...
Paul Merrell, Amir Akbarzadeh, Liang Wang, Philipp...
JMIV
2007
98views more  JMIV 2007»
13 years 9 months ago
A Bilinear Approach to the Parameter Estimation of a General Heteroscedastic Linear System, with Application to Conic Fitting
: In this paper, we study the parameter estimation problem in a general heteroscedastic linear system, by putting the problem in the framework of the bilinear approach to low-rank ...
Pei Chen, David Suter
TKDE
2002
115views more  TKDE 2002»
13 years 9 months ago
An Approach of Implementing General Learning Companions for Problem Solving
Adding a learning companion, a computer simulated social agent, to a computer based learning system can enhance its educational value by enriching the way in which the computer and...
Chih-Yueh Chou, Tak-Wai Chan, Chi-Jen Lin
FEGC
2008
84views Biometrics» more  FEGC 2008»
13 years 11 months ago
Structure Inference of Bayesian Networks from Data: A New Approach Based on Generalized Conditional Entropy
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
Dan A. Simovici, Saaid Baraty