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» Modeling synchronized time series
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109
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CVPR
2010
IEEE
15 years 8 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
83
Voted
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
15 years 6 months ago
Multiobjective VLSI cell placement using distributed genetic algorithm
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...
115
Voted
PPSWR
2005
Springer
15 years 6 months ago
Computational Treatment of Temporal Notions: The CTTN-System
The CTTN-system is a computer program which provides advanced processing or temporal notions. The basic data structures of the CTTN-system are time points, crisp and fuzzy time int...
Hans Jürgen Ohlbach
133
Voted
SSD
2005
Springer
188views Database» more  SSD 2005»
15 years 6 months ago
Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results
Abstract. Evacuation planning is critical for numerous important applications, e.g. disaster emergency management and homeland defense preparation. Efficient tools are needed to pr...
Qingsong Lu, Betsy George, Shashi Shekhar
94
Voted
NIPS
2007
15 years 2 months ago
Measuring Neural Synchrony by Message Passing
A novel approach to measure the interdependence of two time series is proposed, referred to as “stochastic event synchrony” (SES); it quantifies the alignment of two point pr...
Justin Dauwels, François B. Vialatte, Tomas...