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» Minimization of an M-convex Function
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CISS
2010
IEEE
12 years 10 months ago
Unconstrained minimization of quadratic functions via min-sum
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
Nicholas Ruozzi, Sekhar Tatikonda
ICCD
2006
IEEE
125views Hardware» more  ICCD 2006»
14 years 4 months ago
Partial Functional Manipulation Based Wirelength Minimization
—In-place flipping of rectangular blocks/cells can potentially reduce the wirelength of a floorplan/placement solution without changing the chip area, In a recent work [Hao 05], ...
Avijit Dutta, David Z. Pan
RECOMB
2007
Springer
14 years 7 months ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss
ICIP
2005
IEEE
14 years 8 months ago
Minimization of detail-preserving regularization functional by Newton's method with continuation
Abstract-- Recently, a two-phase scheme for removing saltand-pepper impulse noise has been proposed [14]. In the first phase, an adaptive median filter is used to identify pixels w...
Raymond H. Chan, Chung-Wa Ho, Chun-Yee Leung, Mila...
JMMA
2010
162views more  JMMA 2010»
13 years 1 months ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot