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ICCV
2003
IEEE
16 years 6 months ago
Spectral Partitioning for Structure from Motion
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
Drew Steedly, Irfan A. Essa, Frank Dellaert
ICML
2006
IEEE
16 years 5 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 5 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
IPPS
2009
IEEE
15 years 11 months ago
Multi-users scheduling in parallel systems
We are interested in this paper to study scheduling problems in systems where many users compete to perform their respective jobs on shared parallel resources. Each user has speci...
Erik Saule, Denis Trystram
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
15 years 11 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee