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ICONIP
2008
13 years 9 months ago
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony
Abstract. A method is proposed to determine the similarity of a collection of time series. As a first step, one extracts events from the time series, in other words, one converts e...
Justin Dauwels, François B. Vialatte, Theop...
IICAI
2007
13 years 9 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
PPSC
1997
13 years 9 months ago
Dynamic Load-Balancing for Parallel Adaptive Unstructured Meshes
A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a new iterative optimisation technique which both balances the workload and atte...
Chris Walshaw, Mark Cross, M. G. Everett
BC
2006
63views more  BC 2006»
13 years 8 months ago
Dynamic neural field with local inhibition
Abstract A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the Continuum Neural Field Theory (C...
Nicolas P. Rougier
CVGIP
2006
96views more  CVGIP 2006»
13 years 8 months ago
Video motion analysis for the synthesis of dynamic cues and Futurist art
This paper presents new methods for stylising video to produce cartoon motion emphasis cues and modern art. Specifically, we introduce "dynamic cues" as a class of motio...
John P. Collomosse, Peter M. Hall