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» Model Order Reduction for Nonlinear IC Models
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VMV
2008
170views Visualization» more  VMV 2008»
14 years 11 months ago
Robust contour-based object tracking integrating color and edge likelihoods
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
Giorgio Panin, Erwin Roth, Alois Knoll
TWC
2008
148views more  TWC 2008»
14 years 9 months ago
ARMA Synthesis of Fading Channels
Computationally scalable and accurate estimation, prediction, and simulation of wireless communication channels is critical to the development of more adaptive transceiver algorith...
Hani Mehrpouyan, Steven D. Blostein
DAC
2005
ACM
14 years 11 months ago
Piece-wise approximations of RLCK circuit responses using moment matching
Capturing RLCK circuit responses accurately with existing model order reduction (MOR) techniques is very expensive. Direct metrics for fast analysis of RC circuits exist but there...
Chirayu S. Amin, Yehea I. Ismail, Florentin Dartu
ENTCS
2010
118views more  ENTCS 2010»
14 years 7 months ago
Systematic Refinement of Performance Models for Concurrent Component-based Systems
Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Lucia Kapová, Steffen Becker
JMLR
2010
129views more  JMLR 2010»
14 years 4 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert