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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
14 years 11 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
BMCBI
2008
109views more  BMCBI 2008»
14 years 9 months ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...
ICDAR
2009
IEEE
14 years 7 months ago
Invariant Primitives for Handwritten Arabic Script: A Contrastive Study of Four Feature Sets
The choice of relevant features is very decisive in handwriting recognition rate. Our aim is to present some useful structural and statistical features and see their degree of var...
Sofiene Haboubi, Samia Maddouri, Noureddine Ellouz...
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
15 years 9 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...