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163
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IPCO
2008
221views Optimization» more  IPCO 2008»
15 years 5 months ago
A Comparative Study of Linear and Semidefinite Branch-and-Cut Methods for Solving the Minimum Graph Bisection Problem
Abstract. Semidefinite relaxations are known to deliver good approximations for combinatorial optimization problems like graph bisection. Using the spectral bundle method it is pos...
Michael Armbruster, Marzena Fügenschuh, Chris...
103
Voted
VMV
2001
101views Visualization» more  VMV 2001»
15 years 4 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
WCE
2007
15 years 4 months ago
Suboptimal Filter for Multisensor Linear Discrete-Time Systems with Observation Uncertainties
The focus of this paper is the problem of recursive estimation for uncertain multisensor linear discrete-time systems. We herein propose a new suboptimal filtering algorithm. The b...
Tyagi Deepak, Vladimir Shin
141
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
AUTOMATICA
2008
118views more  AUTOMATICA 2008»
15 years 3 months ago
Root-mean-square gains of switched linear systems: A variational approach
We consider the problem of computing the root-mean-square (RMS) gain of switched linear systems. We develop a new approach which is based on an attempt to characterize the "w...
Michael Margaliot, João Pedro Hespanha