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131
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ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 11 days ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
99
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CGF
2006
100views more  CGF 2006»
15 years 2 months ago
Ray Tracing Animated Scenes using Motion Decomposition
Though ray tracing has recently become interactive, its high precomputation time for building spatial indices usually limits its applications to walkthroughs of static scenes. Thi...
Johannes Günther, Heiko Friedrich, Ingo Wald,...
119
Voted
CEC
2009
IEEE
15 years 9 months ago
Task decomposition and evolvability in intrinsic evolvable hardware
— Many researchers have encountered the problem that the evolution of electronic circuits becomes exponentially more difficult when problems with an increasing number of outputs...
Tüze Kuyucu, Martin Trefzer, Julian Francis M...
124
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MP
2006
110views more  MP 2006»
15 years 2 months ago
Decomposition and Dynamic Cut Generation in Integer Linear Programming
Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-known methods that can be used to generate bounds for mixed-integer linear programmi...
Ted K. Ralphs, Matthew V. Galati
91
Voted
ICCD
2005
IEEE
100views Hardware» more  ICCD 2005»
15 years 11 months ago
Temporal Decomposition for Logic Optimization
Traditional approaches for sequential logic optimization include (1) explicit state-based techniques such as state minimization, (2) structural techniques such as retiming, and (3...
Nathan Kitchen, Andreas Kuehlmann