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ICCS
2005
Springer
15 years 9 months ago
Multiscale Interpolation, Backward in Time Error Analysis for Data-Driven Contaminant Simulation
Abstract. We describe, devise, and augment dynamic data-driven application simulations (DDDAS). DDDAS offers interesting computational and mathematically unsolved problems. In thi...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 6 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
ICSM
2008
IEEE
15 years 10 months ago
Dynamic slicing of multithreaded programs for race detection
Prior work has shown that computing dynamic slices of erroneous program values can greatly assist in locating the root cause of erroneous behavior by identifying faulty statements...
Sriraman Tallam, Chen Tian, Rajiv Gupta
135
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PAMI
2008
182views more  PAMI 2008»
15 years 4 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
IJCNN
2006
IEEE
15 years 10 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu