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» UPRE method for total variation parameter selection
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IPPS
2006
IEEE
14 years 1 months ago
Simulation of a hybrid model for image denoising
We propose a new model for image denoising which is a hybrid of the total variation model and the Laplacian mean-curvature model. An efficient numerical procedure to compute the h...
Ricolindo Cariño, Ioana Banicescu, H. Lim, ...
PAMI
2006
143views more  PAMI 2006»
13 years 7 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
ESANN
2000
13 years 8 months ago
Influence of weight-decay training in input selection methods
We describe the results of a research on the effect of weight-decay (WD) in input selection methods based on the analysis of a trained multilayer feedforward network. It was propos...
Mercedes Fernández-Redondo, Carlos Hern&aac...
WSC
2004
13 years 8 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
DAC
2005
ACM
14 years 8 months ago
Full-chip analysis of leakage power under process variations, including spatial correlations
In this paper, we present a method for analyzing the leakage current, and hence the leakage power, of a circuit under process parameter variations that can include spatial correla...
Hongliang Chang, Sachin S. Sapatnekar