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» A New Pattern Representation Scheme Using Data Compression
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82
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FLAIRS
2004
15 years 2 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
68
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ISBI
2008
IEEE
16 years 1 months ago
Improved IDQC reconstruction for inhomogeneity corrected MR spectroscopy
In this paper, we focus on the reconstruction of iDQC MR spectroscopy data. Unlike standard 1-D MR spectroscopy schemes, iDQC acquires 2-D spectral data to decouple the magnetic f...
Rohini Shankar, Tianliang Gu, Jianhui Zhong, Mathe...
115
Voted
EDUTAINMENT
2008
Springer
15 years 2 months ago
Knowledge Discovery by Network Visualization
Hyperlinks among webpages are very important information and are widely used for webpage clustering and webpage ranking. With the explosive growth in the number of webpages availab...
Hong Zhou, Yingcai Wu, Ming-Yuen Chan, Huamin Qu, ...
99
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CGI
2004
IEEE
15 years 4 months ago
Probabilistic Motion Sequence Generation
Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based ...
Mirko Sattler, Ralf Sarlette, Reinhard Klein
146
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IJON
2010
150views more  IJON 2010»
14 years 11 months ago
Linear discriminant analysis using rotational invariant L1 norm
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang