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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 11 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
SIGGRAPH
2010
ACM
15 years 10 months ago
A deformation transformer for real-time cloth animation
Achieving interactive performance in cloth animation has significant implications in computer games and other interactive graphics applications. Although much progress has been m...
Wei-Wen Feng, Yizhou Yu, Byung-Uck Kim
NIPS
2007
15 years 8 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
MVA
1990
15 years 8 months ago
Edge Visibility Regions - A New Representation of the Environment of a Mobile Robot
This paper proposes a novel representation of the free space of mobile robot by distinct, non-overlapping regions called Edge Visibility Regions (EVRs). An algorithm to partition ...
Raj Talluri, J. K. Aggarwal
210
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AAECC
2007
Springer
111views Algorithms» more  AAECC 2007»
15 years 7 months ago
When cache blocking of sparse matrix vector multiply works and why
Abstract. We present new performance models and a new, more compact data structure for cache blocking when applied to the sparse matrixvector multiply (SpM×V) operation, y ← y +...
Rajesh Nishtala, Richard W. Vuduc, James Demmel, K...