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ISNN
2011
Springer
14 years 19 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
BIBE
2005
IEEE
115views Bioinformatics» more  BIBE 2005»
15 years 3 months ago
GOMIT: A Generic and Adaptive Annotation Algorithm Based on Gene Ontology Term Distributions
We address the issue of providing highly informative annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a set of candidate ...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
APWEB
2005
Springer
15 years 3 months ago
An LOD Model for Graph Visualization and Its Application in Web Navigation
This paper presents a new method for visualizing and navigating huge graphs. The main feature of this method is that it applies Level-Of-Detail (LOD) strategy to graph visualizati...
Shixia Liu, Yue Pan, Liping Yang, Wenyin Liu
DAGM
2008
Springer
14 years 11 months ago
Natural Language Understanding by Combining Statistical Methods and Extended Context-Free Grammars
This paper introduces an novel framework for speech understanding using extended context-free grammars (ECFGs) by combining statistical methods and rule based knowledge. By only us...
Stefan Schwärzler, Joachim Schenk, Frank Wall...
CVPR
2004
IEEE
15 years 11 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang