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MACE
2009
Springer
230views Communications» more  MACE 2009»
15 years 9 months ago
Combining Learned and Highly-Reactive Management
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...
Alva L. Couch, Marc Chiarini
ICML
2008
IEEE
16 years 3 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
ICPR
2008
IEEE
16 years 4 months ago
EK-SVD: Optimized dictionary design for sparse representations
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
Raazia Mazhar, Paul D. Gader
SMA
2008
ACM
122views Solid Modeling» more  SMA 2008»
15 years 3 months ago
Technical strategies for massive model visualization
Interactive visualization of massive models still remains a challenging problem. This is mainly due to a combination of ever increasing model complexity with the current hardware ...
Enrico Gobbetti, David J. Kasik, Sung-Eui Yoon
ICIP
2010
IEEE
15 years 1 months ago
A non-stationary Hidden Markov Model of multiview video traffic
Multiview video is increasingly getting attention due to emerging applications such as 3DTV and immersive teleconferencing. In this paper, we present a non-stationary Hidden Marko...
Lorenzo Rossi, Jacob Chakareski, Pascal Frossard, ...