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» Data cleaning using belief propagation
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CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
CVPR
2011
IEEE
13 years 4 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
IPCCC
1999
IEEE
14 years 6 days ago
Management policies for non-volatile write caches
Many computer hardware and software architectures buffer data in memory to improve system performance. Volatile disk or file caches are sometimes used to delay the propagation of ...
Theodore R. Haining, Darrell D. E. Long
NIPS
2003
13 years 9 months ago
Pairwise Clustering and Graphical Models
Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datapoints. In particular, spectral clustering methods have ...
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss
IPMI
2007
Springer
14 years 2 months ago
Joint Sulci Detection Using Graphical Models and Boosted Priors
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca ...