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CVPR
2004
IEEE
15 years 26 days ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
IJCV
2010
169views more  IJCV 2010»
13 years 9 months ago
Rigid Structure from Motion from a Blind Source Separation Perspective
We present an information theoretic approach to define the problem of structure from motion (SfM) as a blind source separation one. Given that for almost all practical joint densi...
Jeff Fortuna, Aleix M. Martínez
INFOCOM
2009
IEEE
14 years 5 months ago
Extreme Value FEC for Wireless Data Broadcasting
Abstract—The advent of practical rateless codes enables implementation of highly efficient packet-level forward error correction (FEC) strategies for reliable data broadcasting ...
Weiyao Xiao, David Starobinski
JSAC
2010
142views more  JSAC 2010»
13 years 9 months ago
Extreme value FEC for reliable broadcasting in wireless networks
—The advent of practical rateless codes enables implementation of highly efficient packet-level forward error correction (FEC) strategies for reliable data broadcasting in loss-...
Weiyao Xiao, David Starobinski
CP
2004
Springer
14 years 4 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith