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ISBI
2002
IEEE
14 years 11 months ago
Detecting branching structures using local Gaussian models
Wepresentamethodformodellingandestimatingbranchingstructures,such asbloodvesselbifurcations,frommedicalimages.Wemodelbranchesasa superpositionofNGaussianfunctionsinalocalregionwhi...
Li Wang, Abhir Bhalerao
VLSID
2007
IEEE
149views VLSI» more  VLSID 2007»
14 years 10 months ago
Efficient and Accurate Statistical Timing Analysis for Non-Linear Non-Gaussian Variability With Incremental Attributes
Title of thesis: EFFICIENT AND ACCURATE STATISTICAL TIMING ANALYSIS FOR NON-LINEAR NON-GAUSSIAN VARIABILITY WITH INCREMENTAL ATTRIBUTES Ashish Dobhal, Master of Science, 2006 Thes...
Ashish Dobhal, Vishal Khandelwal, Ankur Srivastava
CVPR
2010
IEEE
14 years 6 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...
AVSS
2009
IEEE
14 years 5 months ago
Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling
This paper presents a background segmentation technique, which is able to process acceptable segmentation masks under fast global illumination changes. The histogram of the frame-...
Julien A. Vijverberg, Marijn J. H. Loomans, Cornel...
ICASSP
2009
IEEE
14 years 5 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...