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» A Model for Large Scale Self-Stabilization
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CVPR
2009
IEEE
15 years 2 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
RAS
2000
144views more  RAS 2000»
13 years 7 months ago
Robot navigation in the real world: : Experiments with Manchester's FortyTwo in unmodified, large environments
Mobile robot navigation under controlled laboratory conditions is, by now, state of the art and reliably achievable. To transfer navigation mechanisms used in such small-scale env...
Ulrich Nehmzow, Carl Owen
ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 7 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
CAS
2007
87views more  CAS 2007»
13 years 7 months ago
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
Alvaro Soto, Felipe Zavala, Anita Araneda
MVA
2007
142views Computer Vision» more  MVA 2007»
13 years 7 months ago
Shadow based texture registration for 3D modeling of outdoor scenes
This paper presents a novel method for the registration of texture images with a 3D model of outdoor scenes. We pose image registration as an optimization problem that uses knowled...
Alejandro Troccoli, Peter K. Allen