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176
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ICCV
2005
IEEE
16 years 22 days ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
187
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ICTAI
2005
IEEE
16 years 21 days ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
199
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WIOPT
2005
IEEE
16 years 21 days ago
2005
IEEE
In this paper we develop distributed approaches for power allocation and scheduling in wireless access networks. We consider a model where users communicate over a set of parallel...
214
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WWW
2005
ACM
16 years 20 days ago
2005
ACM
We propose a technique for the automated synthesis of new comeb services. Given a set of abstract BPEL4WS descriptions of component services, and a composition requirement, we aut...
200
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COLT
2005
Springer
16 years 20 days ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...