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» An Auxiliary Variational Method
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ICML
2005
IEEE
16 years 7 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers
ICCAD
2004
IEEE
97views Hardware» more  ICCAD 2004»
16 years 3 months ago
Statistical design and optimization of SRAM cell for yield enhancement
In this paper, we have analyzed ond modeled the fiilure probabilities ofSRAM cells due to process parameter variations. A method to predict the yield of a memoiy chip based on the...
Saibal Mukhopadhyay, Hamid Mahmoodi-Meimand, Kaush...
ICCV
2003
IEEE
15 years 11 months ago
Dynamic Texture Segmentation
We address the problem of segmenting a sequence of images of natural scenes into disjoint regions that are characterized by constant spatio-temporal statistics. We model the spati...
Gianfranco Doretto, Daniel Cremers, Paolo Favaro, ...
LREC
2008
108views Education» more  LREC 2008»
15 years 8 months ago
Exploiting Lexical Resources for Disambiguating CJK and Arabic Orthographic Variants
The orthographical complexities of Chinese, Japanese, Korean (CJK) and Arabic pose a special challenge to developers of NLP applications. These difficulties are exacerbated by the...
Jack Halpern
IPCV
2007
15 years 8 months ago
Nonconvex Regularization for Image Segmentation
Abstract - We propose a new method for image segmentation based on a variational regularization algorithm for image denoising. We modify the Rudin-Osher-Fatemi (ROF) model in [1] b...
Rick Chartrand, Valentina Staneva