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MVA
2007
179views Computer Vision» more  MVA 2007»
14 years 9 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
DAGSTUHL
1998
14 years 11 months ago
Markov Localization for Reliable Robot Navigation and People Detection
Localization is one of the fundamental problems in mobile robotics. Without knowledge about their position mobile robots cannot e ciently carry out their tasks. In this paper we pr...
Dieter Fox, Wolfram Burgard, Sebastian Thrun
TSP
2008
167views more  TSP 2008»
14 years 8 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
PE
2011
Springer
214views Optimization» more  PE 2011»
14 years 4 months ago
Time-bounded reachability in tree-structured QBDs by abstraction
Structured QBDs by Abstraction Daniel Klink, Anne Remke, Boudewijn R. Haverkort, Fellow, IEEE, and Joost-Pieter Katoen, Member, IEEE Computer Society —This paper studies quantita...
Daniel Klink, Anne Remke, Boudewijn R. Haverkort, ...
ICA
2007
Springer
15 years 1 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani