Sciweavers

849 search results - page 15 / 170
» Variational methods for the Dirichlet process
Sort
View
ICASSP
2011
IEEE
14 years 1 months ago
Variational methods for spectral unmixing of hyperspectral images
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
GLVLSI
2008
IEEE
129views VLSI» more  GLVLSI 2008»
15 years 3 months ago
Variational capacitance modeling using orthogonal polynomial method
In this paper, we propose a novel statistical capacitance extraction method for interconnects considering process variations. The new method, called statCap, is based on the spect...
Jian Cui, Gengsheng Chen, Ruijing Shen, Sheldon X....
ICIP
2007
IEEE
15 years 11 months ago
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation
In this paper we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. By following...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
CVPR
2007
IEEE
15 years 11 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
ICCAD
2003
IEEE
205views Hardware» more  ICCAD 2003»
15 years 2 months ago
Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
Aseem Agarwal, David Blaauw, Vladimir Zolotov