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ICASSP
2008
IEEE
15 years 4 months ago
Discriminative training by iterative linear programming optimization
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Brian Mak, Benny Ng
WIOPT
2005
IEEE
15 years 3 months ago
Iterated Local Optimization for Minimum Energy Broadcast
In our prior work, we presented a highly effective local search based heuristic algorithm called the Largest Expanding Sweep Search (LESS) to solve the minimum energy broadcast (M...
Intae Kang, Radha Poovendran
CORR
2006
Springer
107views Education» more  CORR 2006»
14 years 9 months ago
Dense Gaussian Sensor Networks: Minimum Achievable Distortion and the Order Optimality of Separation
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements...
Nan Liu, Sennur Ulukus
NIPS
2004
14 years 11 months ago
A Second Order Cone programming Formulation for Classifying Missing Data
We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distributio...
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswam...
MMAS
2011
Springer
14 years 19 days ago
Sweeping Preconditioner for the Helmholtz Equation: Moving Perfectly Matched Layers
This paper introduces a new sweeping preconditioner for the iterative solution of the variable coefficient Helmholtz equation in two and three dimensions. The algorithms follow th...
Björn Engquist, Lexing Ying