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IJCV
2010
152views more  IJCV 2010»
13 years 8 months ago
Learning Articulated Structure and Motion
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
David A. Ross, Daniel Tarlow, Richard S. Zemel
ICCV
2005
IEEE
14 years 12 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
WWW
2007
ACM
14 years 10 months ago
A probabilistic semantic approach for discovering web services
Service discovery is one of challenging issues in Service-Oriented computing. Currently, most of the existing service discovering and matching approaches are based on keywords-bas...
Jiangang Ma, Jinli Cao, Yanchun Zhang
ESORICS
2002
Springer
14 years 9 months ago
Computational Probabilistic Non-interference
In recent times information flow and non-interference have become very popular concepts for expressing both integrity and privacy properties. We present the first general definitio...
Michael Backes, Birgit Pfitzmann
ICAC
2009
IEEE
14 years 4 months ago
Multi-perspective evaluation of self-healing systems using simple probabilistic models
In this paper we construct an evaluation framework for a self-healing system, VM-Rejuv – a virtual machine based rejuvenation scheme for web-application servers – using simple...
Rean Griffith, Gail E. Kaiser, Javier Alonso L&oac...