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NIPS
2003
15 years 6 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
ICASSP
2009
IEEE
15 years 11 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
149
Voted
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
15 years 11 months ago
Recursive state estimation for linear systems with mixed stochastic and set-bounded disturbances
Abstract— Recursive state estimation is considered for discrete time linear systems with mixed process and measurement disturbances that have stochastic and (convex) set-bounded ...
Toivo Henningsson
ISVC
2007
Springer
15 years 10 months ago
Robust Infants Face Tracking Using Active Appearance Models: A Mixed-State CONDENSATION Approach
Abstract. In this paper a new extension of the CONDENSATION algorithm, with application to infants face tracking, will be introduced. In this work we address the problem of trackin...
Luigi Bagnato, Matteo Sorci, Gianluca Antonini, Gi...
IROS
2006
IEEE
87views Robotics» more  IROS 2006»
15 years 10 months ago
Unraveling of Deformable Linear Objects Based on 2D Information about Their Crossing States
— A planning method for unraveling deformable linear objects based on 2D information about their crossing states is proposed. In manipulation of a linear object, its raveling mus...
Hidefumi Wakamatsu, Akira Tsumaya, Eiji Arai, Shin...