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» Parametric Process Model Inference
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ICIP
2010
IEEE
13 years 5 months ago
Adaptive motion model selection using a cubic spline based estimation framework
A block based video coder that supports multiple motion models is proposed. Apart from the typical translational motion model, we employ parametric models to more accurately repre...
Haricharan Lakshman, Heiko Schwarz, Thomas Wiegand
ICASSP
2011
IEEE
12 years 11 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
ICASSP
2008
IEEE
14 years 2 months ago
Representation of solo clarinet music by physical modeling synthesis
A physical modeling synthesizer is developed and used to parametrically represent digital audio recordings of clarinet soloists. Empirical data, in the form of acoustic impedance ...
Mark Sterling, Xiaoxiao Dong, Mark Bocko
ICIP
2005
IEEE
14 years 9 months ago
Parameter estimation of multi-dimensional hidden Markov models - a scalable approach
Parameter estimation is a key computational issue in all statistical image modeling techniques. In this paper, we explore a computationally efficient parameter estimation algorith...
Dhiraj Joshi, Jia Li, James Ze Wang
CGI
2006
IEEE
14 years 1 months ago
Real-Time Shadow Volume Algorithm for Subdivision Surface Based Models
This paper presents a purely hardware-accelerated shadow volume algorithm for subdivision surface based models. By introducing SP (subdivision patterns), all procedures, including ...
Min Tang, Jinxiang Dong, Shang-Ching Chou