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NIPS
2007
13 years 9 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
PPOPP
2010
ACM
14 years 4 months ago
Scalable communication protocols for dynamic sparse data exchange
Many large-scale parallel programs follow a bulk synchronous parallel (BSP) structure with distinct computation and communication phases. Although the communication phase in such ...
Torsten Hoefler, Christian Siebert, Andrew Lumsdai...
MM
2006
ACM
157views Multimedia» more  MM 2006»
14 years 1 months ago
Syllabic level automatic synchronization of music signals and text lyrics
We present a framework to synchronize pop music to corresponding text lyric. We refine line level alignment achievable by existing work to syllabic level by using a dynamic progra...
Denny Iskandar, Ye Wang, Min-Yen Kan, Haizhou Li
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
14 years 9 months ago
DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks
Current approaches to K Nearest Neighbor (KNN) search in mobile sensor networks require certain kind of indexing support. This index could be either a centralized spatial index or...
Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, Ming-...
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 1 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun