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» Computational Probabilistic Non-interference
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139
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SIGIR
2002
ACM
15 years 2 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny

Book
778views
17 years 22 days ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
145
Voted
MICCAI
2006
Springer
16 years 3 months ago
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan ...
109
Voted
MICCAI
2002
Springer
16 years 3 months ago
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm
Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited ...
Simon K. Warfield, Kelly H. Zou, William M. Wells ...
145
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SIGSOFT
2007
ACM
16 years 3 months ago
Quantitative verification: models techniques and tools
Automated verification is a technique for establishing if certain properties, usually expressed in temporal logic, hold for a system model. The model can be defined using a high-l...
Marta Z. Kwiatkowska