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CVPR
2005
IEEE
14 years 9 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
ICCV
2001
IEEE
14 years 9 months ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind
POPL
2009
ACM
14 years 8 months ago
Automated verification of practical garbage collectors
Garbage collectors are notoriously hard to verify, due to their lowlevel interaction with the underlying system and the general difficulty in reasoning about reachability in graph...
Chris Hawblitzel, Erez Petrank
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
14 years 2 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
IPPS
2006
IEEE
14 years 1 months ago
An adaptive stabilization framework for distributed hash tables
Distributed Hash Tables (DHT) algorithms obtain good lookup performance bounds by using deterministic rules to organize peer nodes into an overlay network. To preserve the invaria...
Gabriel Ghinita, Yong Meng Teo