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ICASSP
2011
IEEE
14 years 10 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
HICSS
2010
IEEE
208views Biometrics» more  HICSS 2010»
16 years 1 months ago
Using Personality Factors to Predict Interface Learning Performance
This current study explored the impact of individual differences in personality factors on interface interaction and learning performance in both an interactive visualization and ...
Tera Marie Green, Dong Hyun Jeong, Brian Fisher
CIDM
2009
IEEE
16 years 1 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
LCN
2005
IEEE
16 years 13 days ago
Automated Traffic Classification and Application Identification using Machine Learning
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
SIGIR
2004
ACM
16 years 8 days ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...