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IJCAI
2001
15 years 8 months ago
Balance and Filtering in Structured Satisfiable Problems
New methods to generate hard random problem instances have driven progress on algorithms for deduction and constraint satisfaction. Recently Achlioptas et al. (AAAI 2000) introduc...
Henry A. Kautz, Yongshao Ruan, Dimitris Achlioptas...
AAAI
1998
15 years 8 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
TIP
2008
126views more  TIP 2008»
15 years 6 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld
CVPR
2009
IEEE
1148views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Shape Constrained Figure-Ground Segmentation and Tracking
Global shape information is an effective top-down complement to bottom-up figure-ground segmentation as well as a useful constraint to avoid drift during adaptive tracking. We p...
Zhaozheng Yin, Robert T. Collins
HIPEAC
2010
Springer
15 years 4 months ago
Buffer Sizing for Self-timed Stream Programs on Heterogeneous Distributed Memory Multiprocessors
Abstract. Stream programming is a promising way to expose concurrency to the compiler. A stream program is built from kernels that communicate only via point-to-point streams. The ...
Paul M. Carpenter, Alex Ramírez, Eduard Ayg...