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127
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CVPR
2004
IEEE
16 years 4 months ago
A Probabilistic Framework for Combining Tracking Algorithms
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
126
Voted
BDA
2007
15 years 3 months ago
A Framework for Distributed Spatial Indexing in Shared-Nothing Architectures
The paper presents a complete framework for spatial indexing support in a distributed setting. We consider a shared-nothing environment where a set of servers provides independent...
Cédric du Mouza, Witold Litwin, Philippe Ri...
140
Voted
ICCV
2005
IEEE
16 years 4 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
118
Voted
VLSID
2002
IEEE
149views VLSI» more  VLSID 2002»
16 years 2 months ago
Functional Partitioning for Low Power Distributed Systems of Systems-on-a-Chip
In this paper, we present a functional partitioning method for low power real-time distributed embedded systems whose constituent nodes are systems-on-a-chip (SOCs). The systemlev...
Yunsi Fei, Niraj K. Jha
SIGMETRICS
2010
ACM
181views Hardware» more  SIGMETRICS 2010»
15 years 2 months ago
A unified modeling framework for distributed resource allocation of general fork and join processing networks
This paper addresses the problem of distributed resource allocation in general fork and join processing networks. The problem is motivated by the complicated processing requiremen...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...