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ICCV
2005
IEEE
16 years 8 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
JNW
2008
173views more  JNW 2008»
15 years 6 months ago
Dominating Set Theory based Semantic Overlay Networks for Efficient and Resilient Content Distribution
Recently overlay networks have emerged as an efficient and flexible method for content distribution. An overlay network is a network running on top of another network, usually the ...
J. Amutharaj, S. Radhakrishnan
TON
2002
125views more  TON 2002»
15 years 6 months ago
Multicast-based inference of network-internal delay distributions
Packet delay greatly influences the overall performance of network applications. It is therefore important to identify causes and location of delay performance degradation within ...
Francesco Lo Presti, Nick G. Duffield, Joseph Horo...
ALGORITHMICA
2005
93views more  ALGORITHMICA 2005»
15 years 6 months ago
Universal Asymptotics for Random Tries and PATRICIA Trees
Abstract. We consider random tries and random patricia trees constructed from n independent strings of symbols drawn from any distribution on any discrete space. We show that many ...
Luc Devroye
OSDI
2000
ACM
15 years 7 months ago
Overcast: Reliable Multicasting with an Overlay Network
Overcast is an application-level multicasting system that can be incrementally deployed using today's Internet infrastructure. These properties stem from Overcast's impl...
John Jannotti, David K. Gifford, Kirk L. Johnson, ...