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» Minimization of an M-convex Function
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ASYNC
1998
IEEE
100views Hardware» more  ASYNC 1998»
14 years 1 months ago
An Implicit Method for Hazard-Free Two-Level Logic Minimization
None of the available minimizers for exact 2-level hazard-free logic minimization can synthesize very large circuits. This limitation has forced researchers to resort to heuristic...
Michael Theobald, Steven M. Nowick
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 9 months ago
Penalty Decomposition Methods for Rank Minimization
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first show that a class of matrix optimization prob...
Zhaosong Lu, Yong Zhang
GMP
2010
IEEE
195views Solid Modeling» more  GMP 2010»
14 years 1 months ago
Construction of Minimal Catmull-Clark's Subdivision Surfaces with Given Boundaries
Minimal surface is an important class of surfaces. They are widely used in the areas such as architecture, art and natural science etc.. On the other hand, subdivision technology h...
Qing Pan, Guoliang Xu
JMIV
2006
72views more  JMIV 2006»
13 years 9 months ago
The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties
The uncertainty principle is a fundamental concept in the context of signal and image processing, just as much as it has been in the framework of physics and more recently in harmo...
Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 9 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi