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CVPR
2006
IEEE
14 years 7 months ago
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis
We present a novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detect...
Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri,...
ISMB
1994
13 years 6 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
13 years 11 months ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh
CVPR
2004
IEEE
14 years 7 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
BMCBI
2008
120views more  BMCBI 2008»
13 years 5 months ago
DBMLoc: a Database of proteins with multiple subcellular localizations
Background: Subcellular localization information is one of the key features to protein function research. Locating to a specific subcellular compartment is essential for a protein...
Song Zhang, Xuefeng Xia, Jincheng Shen, Yun Zhou, ...