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ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
15 years 6 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
ICPR
2004
IEEE
16 years 28 days ago
Hierarchical Object Indexing and Sequential Learning
This work is about scene interpretation in the sense of detecting and localizing instances from multiple object classes. We concentrate on object indexing: generate an over-comple...
Donald Geman, Xiaodong Fan
ICDM
2002
IEEE
91views Data Mining» more  ICDM 2002»
15 years 4 months ago
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
We present an algorithm to find fragments in a set of molecules that help to discriminate between different classes of, for instance, activity in a drug discovery context. Instea...
Christian Borgelt, Michael R. Berthold
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 4 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
AAAI
2006
15 years 1 months ago
Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
Many planning and design problems can be characterized as optimal search over a constrained network of conditional choices with preferences. To draw upon the advanced methods of c...
Robert T. Effinger, Brian C. Williams