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CVPR
1999
IEEE
14 years 9 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black
CCGRID
2004
IEEE
13 years 11 months ago
Distributed virtual computers (DVC): simplifying the development of high performance Grid applications
Distributed Virtual Computer (DVC) is a computing environment which simplifies the development and execution of distributed applications on computational grids. DVC provides a sim...
Nut Taesombut, Andrew A. Chien
ICCV
2007
IEEE
14 years 2 months ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
IJON
2007
83views more  IJON 2007»
13 years 7 months ago
Neurospaces: Towards automated model partitioning for parallel computers
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...
Hugo Cornelis, Erik De Schutter
HPDC
2010
IEEE
13 years 8 months ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben