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» Learning Nonlinear Manifolds from Time Series
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ECCV
2010
Springer
14 years 10 months ago
Activities as Time Series of Human Postures
Abstract. This paper presents an exemplar-based approach to detecting and localizing human actions, such as running, cycling, and swinging, in realistic videos with dynamic backgro...
William Brendel, Sinisa Todorovic
74
Voted
AMAI
1999
Springer
14 years 9 months ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis
DATE
2003
IEEE
151views Hardware» more  DATE 2003»
15 years 2 months ago
Analysis and White-Box Modeling of Weakly Nonlinear Time-Varying Circuits
The architectural study of wireless communication systems typically requires simulations with high-level models for different analog and RF blocks. Among these blocks, frequency-t...
Petr Dobrovolný, Gerd Vandersteen, Piet Wam...
ICANN
2001
Springer
15 years 2 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
TMI
2010
175views more  TMI 2010»
14 years 4 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu