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CVPR
2008
IEEE
14 years 7 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
APLAS
2009
ACM
14 years 9 days ago
Large Spurious Cycle in Global Static Analyses and Its Algorithmic Mitigation
We present a simple algorithmic extension of the classical call-strings approach to mitigate substantial performance degradation caused by spurious interprocedural cycles. Spuriou...
Hakjoo Oh
ICECCS
2002
IEEE
79views Hardware» more  ICECCS 2002»
13 years 10 months ago
A Framework for Performability Modeling of Messaging Services in Distributed Systems
Messaging services are a useful component in distributed systems that require scalable dissemination of messages (events) from suppliers to consumers. These services decouple supp...
Srinivasan Ramani, Katerina Goseva-Popstojanova, K...
AAAI
1998
13 years 7 months ago
Bayesian Q-Learning
A central problem in learning in complex environmentsis balancing exploration of untested actions against exploitation of actions that are known to be good. The benefit of explora...
Richard Dearden, Nir Friedman, Stuart J. Russell
PAMI
2006
147views more  PAMI 2006»
13 years 5 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani