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ICASSP
2008
IEEE
16 years 29 days 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
RTAS
2007
IEEE
16 years 24 days ago
A Programming Model for Time-Synchronized Distributed Real-Time Systems
Discrete-event (DE) models are formal system specifications that have analyzable deterministic behaviors. Using a global, consistent notion of time, DE components communicate via...
Yang Zhao, Jie Liu, Edward A. Lee
TACAS
2007
Springer
125views Algorithms» more  TACAS 2007»
16 years 19 days ago
Type-Dependence Analysis and Program Transformation for Symbolic Execution
Symbolic execution can be problematic when applied to real applications. This paper addresses two of these problems: (1) the constraints generated during symbolic execution may be ...
Saswat Anand, Alessandro Orso, Mary Jean Harrold
ISQED
2010
IEEE
123views Hardware» more  ISQED 2010»
15 years 8 months ago
Yield-constrained digital circuit sizing via sequential geometric programming
Circuit design under process variation can be formulated mathematically as a robust optimization problem with a yield constraint. Existing methods force designers to either resort...
Yu Ben, Laurent El Ghaoui, Kameshwar Poolla, Costa...
CCE
2008
15 years 6 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny