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EMMCVPR
2011
Springer
12 years 8 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady
AAAI
1998
13 years 9 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore
MPC
2004
Springer
109views Mathematics» more  MPC 2004»
14 years 1 months ago
Optimizing Generic Functions
Abstract. Generic functions are defined by induction on the structural representation of types. As a consequence, by defining just a single generic operation, one acquires this o...
Artem Alimarine, Sjaak Smetsers
NIPS
2004
13 years 9 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
ICCAD
2003
IEEE
142views Hardware» more  ICCAD 2003»
14 years 5 months ago
Energy Optimization of Distributed Embedded Processors by Combined Data Compression and Functional Partitioning
Transmitting compressed data can reduce inter-processor communication traffic and create new opportunities for DVS (dynamic voltage scaling) in distributed embedded systems. Howe...
Jinfeng Liu, Pai H. Chou