403 search results - page 39 / 81 » Sampling Bounds for Stochastic Optimization |
INFOCOM
2007
IEEE
14 years 4 months ago
2007
IEEE
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
NIPS
2004
13 years 11 months ago
2004
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
CEC
2011
IEEE
12 years 10 months ago
2011
IEEE
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
DRR
2010
14 years 9 days ago
2010
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
JMLR
2010
13 years 4 months ago
2010
This work deals with four classical prediction settings, namely full information, bandit, label efficient and bandit label efficient as well as four different notions of regret: p...