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» The Localization Hypothesis and Machines
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ML
1998
ACM
220views Machine Learning» more  ML 1998»
15 years 6 months ago
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Toshiharu Sugawara, Victor R. Lesser
COLT
2010
Springer
15 years 4 months ago
Deterministic Sparse Fourier Approximation via Fooling Arithmetic Progressions
A significant Fourier transform (SFT) algorithm, given a threshold and oracle access to a function f, outputs (the frequencies and approximate values of) all the -significant Fou...
Adi Akavia
ICMLA
2009
15 years 4 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
HPCA
1997
IEEE
15 years 10 months ago
Global Address Space, Non-Uniform Bandwidth: A Memory System Performance Characterization of Parallel Systems
Many parallel systems offer a simple view of memory: all storage cells are addresseduniformly. Despite a uniform view of the memory, the machines differsignificantly in theirmemo...
Thomas Stricker, Thomas R. Gross
ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Learning Based Digital Matting
We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a g...
Yuanjie Zheng, Chandra Kambhamettu