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NIPS
2008
13 years 10 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
IPPS
2007
IEEE
14 years 3 months ago
High Performance Database Searching with HMMer on FPGAs
1 Profile Hidden Markov Models (profile HMMs) are used as a popular bioinformatics tool for sensitive database searching, e.g. a set of not annotated protein sequences is compared...
Timothy F. Oliver, Leow Yuan Yeow, Bertil Schmidt
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
13 years 7 months ago
Online intention recognition for computer-assisted teleoperation
— An online intention recognition algorithm for computer-assisted teleoperation is introduced. The algorithm is able to distinguish between phases of a typical object manipulatio...
Nikolay Stefanov, Angelika Peer, Martin Buss
ICVGIP
2004
13 years 10 months ago
Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition
This paper presents an approach for a multi-cue, viewbased recognition of gestures. We describe an exemplarbased technique that combines two different forms of exemplars - shape e...
Vinay D. Shet, V. Shiv Naga Prasad, Ahmed M. Elgam...
ICPR
2004
IEEE
14 years 10 months ago
Rejection Strategies for Offline Handwritten Sentence Recognition
This paper investigates three different rejection strategies for offline handwritten sentence recognition. The rejection strategies are implemented as a postprocessing step of a H...
Horst Bunke, Matthias Zimmermann, Roman Bertolami