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CVPR
2006
IEEE
15 years 12 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
KDD
2000
ACM
82views Data Mining» more  KDD 2000»
15 years 1 months ago
Exploration mining in diabetic patients databases: findings and conclusions
Real-life data mining applications are interesting because they often present a different set of problems for data miners. One such real-life application that we have done is on t...
Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
15 years 10 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
CIMCA
2006
IEEE
15 years 3 months ago
Reducing the Size of If-Then Rules Generated from Data Tables with Graded Attributes
Presented is a method for reducing the size of if-then rules generated from data tables with graded attributes. Data tables with graded attributes represent data structures descri...
Radim Belohlávek, Vilém Vychodil
JASIS
2000
143views more  JASIS 2000»
14 years 9 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng