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ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
16 years 1 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
ICDM
2003
IEEE
118views Data Mining» more  ICDM 2003»
15 years 12 months ago
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains
In this work, we show that Kleinberg’s hubs and authorities model is closely related to both correspondence analysis, a well-known multivariate statistical technique, and a parti...
François Fouss, Marco Saerens, Jean-Michel ...
CORR
2011
Springer
167views Education» more  CORR 2011»
15 years 1 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
16 years 22 days ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
HOTOS
2007
IEEE
15 years 10 months ago
HotComments: How to Make Program Comments More Useful?
Program comments have long been used as a common practice for improving inter-programmer communication and code readability, by explicitly specifying programmers' intentions ...
Lin Tan, Ding Yuan, Yuanyuan Zhou