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NIPS
2003
15 years 5 months ago
Bayesian Color Constancy with Non-Gaussian Models
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...
JCB
2006
185views more  JCB 2006»
15 years 4 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
DATE
2010
IEEE
121views Hardware» more  DATE 2010»
15 years 9 months ago
Cost modeling and cycle-accurate co-simulation of heterogeneous multiprocessor systems
—In this paper, we present a method to analyze different implementations of stream-based applications on heterogeneous multiprocessor systems. We take both resource usage and per...
Sven van Haastregt, Eyal Halm, Bart Kienhuis
ICRA
2005
IEEE
103views Robotics» more  ICRA 2005»
15 years 10 months ago
A Model-Based Framework for Optimal Measurements in Machine Tool Calibration
— Calibration is the procedure of quantifying mechanical deficiencies of machines and compensating them by appropriate adjustment. This paper introduces a modelbased measurement...
D. Brunn, Uwe D. Hanebeck
ICASSP
2011
IEEE
14 years 8 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien