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» Localized empirical discriminant analysis
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 9 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
SMI
2008
IEEE
107views Image Analysis» more  SMI 2008»
14 years 2 months ago
Approximate topological matching of quadrilateral meshes
Abstract In this paper, we study the problem of approximate topological matching for quadrilateral meshes, that is, the problem of finding as large a set as possible of matching p...
David Eppstein, Michael T. Goodrich, Ethan Kim, Ra...
TCBB
2008
102views more  TCBB 2008»
13 years 8 months ago
Identification of Protein Coding Regions Using the Modified Gabor-Wavelet Transform
An important topic in genomic sequence analysis is the identification of protein coding regions. In this context, several coding DNA model-independent methods based on the occurren...
Jesus P. Mena-Chalco, Helaine Carrer, Yossi Zana, ...
ISI
2008
Springer
13 years 8 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh
CVPR
2009
IEEE
15 years 3 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...