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» Network Structuring and Training Using Rule-Based Knowledge
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TMI
1998
122views more  TMI 1998»
14 years 9 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
15 years 10 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
ML
2008
ACM
222views Machine Learning» more  ML 2008»
14 years 9 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
DIS
2001
Springer
15 years 2 months ago
Computational Discovery of Communicable Knowledge: Symposium Report
Abstract. The Symposium on Computational Discovery of Communicable Knowledge was held from March 24 to 25, 2001, at Stanford University. Fifteen speakers reviewed recent advances i...
Saso Dzeroski, Pat Langley
ACCV
2010
Springer
14 years 4 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang