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SIAMSC
2010
158views more  SIAMSC 2010»
14 years 10 months ago
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
In this paper, we study alternating direction methods for solving constrained total-variation image restoration and reconstruction problems. Alternating direction methods can be im...
Michael K. Ng, Pierre Weiss, Xiaoming Yuan
SIGMETRICS
2011
ACM
196views Hardware» more  SIGMETRICS 2011»
14 years 2 months ago
Autocorrelation analysis: a new and improved method for measuring branch predictability
Branch taken rate and transition rate have been proposed as metrics to characterize the branch predictability. However, these two metrics may misclassify branches with regular his...
Jian Chen, Lizy Kurian John
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
15 years 3 months ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
ICML
2010
IEEE
15 years 27 days ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras
ESANN
2008
15 years 1 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...