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CVPR
2007
IEEE
16 years 3 months ago
Online Spatial-temporal Data Fusion for Robust Adaptive Tracking
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
Jixu Chen, Qiang Ji
ESWA
2008
169views more  ESWA 2008»
15 years 26 days ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
ICML
2004
IEEE
16 years 2 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
IPPS
2007
IEEE
15 years 7 months ago
Real-Time Distributed Scheduling of Precedence Graphs on Arbitrary Wide Networks
Previous work on scheduling dynamic competitive jobs is focused on multiprocessors configurations. This paper presents a new distributed dynamic scheduling scheme for sporadic re...
Franck Butelle, Mourad Hakem, Lucian Finta
NIPS
2004
15 years 2 months ago
Rate- and Phase-coded Autoassociative Memory
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
Máté Lengyel, Peter Dayan