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CVPR
2007
IEEE
14 years 11 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
PVLDB
2008
111views more  PVLDB 2008»
13 years 8 months ago
Semandaq: a data quality system based on conditional functional dependencies
We present SEMANDAQ, a prototype system for improving the quality of relational data. Based on the recently proposed conditional functional dependencies (CFDs), it detects and rep...
Wenfei Fan, Floris Geerts, Xibei Jia
NIPS
2003
13 years 10 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
JVCIR
2008
110views more  JVCIR 2008»
13 years 9 months ago
Video quality and system resources: Scheduling two opponents
In this article we present three key ideas which together form a flexible framework for maximizing user-perceived quality under given resources with modern video codecs (H.264). F...
Michael Roitzsch, Martin Pohlack
SMC
2007
IEEE
14 years 3 months ago
A management of mutual belief for human-robot interaction
Abstract— Human-robot collaborative task achievement requires the robot to reason not only about its current beliefs but also about the ones of its human partner. In this paper, ...
Aurélie Clodic, Maxime Ransan, Rachid Alami...