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ICASSP
2011
IEEE
14 years 8 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
ICALT
2006
IEEE
15 years 11 months ago
Mobile Technology and Content Delivery in Education
The purpose of this workshop is to identify various issues that are pertinent to the development and delivery of content in the context of mobile devices. The workshop will focus ...
Rory McGreal, Kinshuk
CHI
2004
ACM
16 years 5 months ago
IM here: public instant messaging on large, shared displays for workgroup interactions
Instant messaging (IM) in the workplace has proven to be a valuable tool for facilitating informal communication. Its benefits, however, are generally limited to times when users ...
Elaine M. Huang, Daniel M. Russell, Alison E. Sue
CHI
2009
ACM
16 years 5 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
132
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COLT
2008
Springer
15 years 6 months ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor