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» Branch and Bound on the Network Model
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CVPR
2012
IEEE
13 years 4 days ago
Linear solution to scale invariant global figure ground separation
We propose a novel linear method for scale invariant figure ground separation in images and videos. Figure ground separation is treated as a superpixel labeling problem. We optim...
Hao Jiang
INFOCOM
1993
IEEE
15 years 1 months ago
A Generalized Processor Sharing Approach to Flow Control in Integrated Services Networks: The Multiple Node Case
Worst-casebounds on delay and backlog are derived for leaky bucket constrained sessions in arbitrary topology networks of Generalized Processor Sharing (GPS) 10] servers. The inhe...
Abhay K. Parekh, Robert G. Gallager
NIPS
2008
14 years 11 months ago
Evaluating probabilities under high-dimensional latent variable models
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
Iain Murray, Ruslan Salakhutdinov
ISNN
2004
Springer
15 years 3 months ago
Robust Adaptive Control Using Neural Networks and Projection
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
Xiaoou Li, Wen Yu
CISS
2008
IEEE
15 years 4 months ago
Short-term fairness and long-term QoS
—We consider connection-level models of resource allocation in the Internet, where files arrive into the network according to a Poisson process and the size of each file is exp...
Bo Tan, Lei Ying, R. Srikant