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CVPR
2011
IEEE
15 years 1 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
IJCBDD
2011
112views more  IJCBDD 2011»
15 years 1 months ago
A novel network model identified a 13-gene lung cancer prognostic signature
: This study presents a novel network methodology to identify prognostic gene signatures. Implication networks based on prediction logic are used to construct genome-wide coexpress...
Nancy Lan Guo, Ying-Wooi Wan, Swetha Bose, James D...
JMLR
2010
140views more  JMLR 2010»
15 years 1 months ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...
CEC
2011
IEEE
14 years 6 months ago
Trainer selection strategies for coevolving rank predictors
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
Daniel L. Ly, Hod Lipson
CLEF
2011
Springer
14 years 6 months ago
Author Identification Using Semi-supervised Learning - Notebook for PAN at CLEF 2011
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
Ioannis Kourtis, Efstathios Stamatatos