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EURONGI
2005
Springer
14 years 1 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
ICIP
1999
IEEE
14 years 9 months ago
Multiple Description Coding for Video Using Motion Compensated Prediction
We propose multiple description (MD) video coders which use motion compensated predictions. Our MD video coders utilize MD transform coding and three separate prediction paths at ...
Amy R. Reibman, Hamid Jafarkhani, Yao Wang, Michae...
ISVC
2009
Springer
14 years 2 months ago
Biometric Recognition: When Is Evidence Fusion Advantageous?
Abstract. Having assessed the performance gains due to evidence fusion, previous works reported contradictory conclusions. For some, a consistent improvement is achieved, while oth...
Hugo Proença
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 1 months ago
Personalization in Context: Does Context Matter When Building Personalized Customer Models?
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much ...
Michele Gorgoglione, Cosimo Palmisano, Alexander T...
NIPS
2003
13 years 9 months ago
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
We interpret non-negative matrix factorization geometrically, as the problem of finding a simplicial cone which contains a cloud of data points and which is contained in the posi...
David L. Donoho, Victoria Stodden