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ICASSP
2009
IEEE
15 years 6 months ago
Detection of sparse signals under finite-alphabet constraints
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
Zhi Tian, Geert Leus, Vincenzo Lottici
CSCLP
2007
Springer
15 years 9 months ago
Generalizing Global Constraints Based on Network Flows
Global constraints are used in constraint programming to help users specify patterns that occur frequently in the real world. In addition, global constraints facilitate the use of ...
Igor Razgon, Barry O'Sullivan, Gregory M. Provan
ICPR
2000
IEEE
15 years 6 months ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
PPSN
1998
Springer
15 years 7 months ago
Methods to Evolve Legal Phenotypes
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
Tina Yu, Peter J. Bentley
ISCAS
2006
IEEE
145views Hardware» more  ISCAS 2006»
15 years 9 months ago
The wordlength determination problem of linear time invariant systems with multiple outputs - a geometric programming approach
This paper proposes two new methods for optimizing objectives and constraints. The GP approach is very general and hardware resources in finite wordlength implementation of it allo...
S. C. Chan, K. M. Tsui