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» The Hierarchical Hidden Markov Model: Analysis and Applicati...
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ICML
1998
IEEE
16 years 2 months ago
Heading in the Right Direction
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
Hagit Shatkay, Leslie Pack Kaelbling
PDCN
2004
15 years 2 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
WIAMIS
2009
IEEE
15 years 8 months ago
Adaptive gesture recognition in Human Computer Interaction
An adaptive, invariant to user performance fluctuation or noisy input signal, gesture recognition scheme is presented based on Self Organizing Maps, Markov Models and Levenshtein...
George Caridakis, Kostas Karpouzis, Athanasios I. ...
SMI
2010
IEEE
204views Image Analysis» more  SMI 2010»
14 years 12 months ago
Generalized PolyCube Trivariate Splines
Abstract—This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new frame...
Bo Li, Xin Li, Kexiang Wang, Hong Qin
ISPASS
2007
IEEE
15 years 7 months ago
An Analysis of Performance Interference Effects in Virtual Environments
Virtualization is an essential technology in modern datacenters. Despite advantages such as security isolation, fault isolation, and environment isolation, current virtualization ...
Younggyun Koh, Rob C. Knauerhase, Paul Brett, Mic ...