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IPMI
2011
Springer
14 years 7 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
DAGM
2011
Springer
14 years 3 months ago
Multiple Instance Boosting for Face Recognition in Videos
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
Paul Wohlhart, Martin Köstinger, Peter M. Rot...
149
Voted
ICS
2007
Tsinghua U.
15 years 10 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson
NIPS
2004
15 years 5 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad
CSCW
2011
ACM
14 years 11 months ago
Peer interaction effectively, yet infrequently, enables programmers to discover new tools
Computer users rely on software tools to work effectively and efficiently, but it is difficult for users to be aware of all the tools that might be useful to them. While there a...
Emerson R. Murphy-Hill, Gail C. Murphy