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ENGL
2007
180views more  ENGL 2007»
14 years 9 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
72
Voted
MICCAI
2008
Springer
15 years 11 months ago
Spatial Consistency in 3D Tract-Based Clustering Statistics
We propose a novel technique for tract-based comparison of DTI-indices between groups, based on a representation that is estimated while matching fiber tracts. The method involves ...
Matthan Caan, Lucas J. van Vliet, Charles B. L. ...
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 3 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
ICIP
2005
IEEE
15 years 11 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu
IEEEPACT
2006
IEEE
15 years 3 months ago
Complexity-based program phase analysis and classification
Modeling and analysis of program behavior are at the foundation of computer system design and optimization. As computer systems become more adaptive, their efficiency increasingly...
Chang-Burm Cho, Tao Li