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» Kernels for Semi-Structured Data
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COLT
2007
Springer
15 years 7 months ago
Multi-view Regression Via Canonical Correlation Analysis
In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be partitioned into two different views, where it is assum...
Sham M. Kakade, Dean P. Foster
143
Voted
SSPR
2010
Springer
14 years 11 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
93
Voted
CORR
2010
Springer
110views Education» more  CORR 2010»
14 years 10 months ago
Learning Multi-modal Similarity
In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification,...
Brian McFee, Gert R. G. Lanckriet
92
Voted
SSDBM
2006
IEEE
167views Database» more  SSDBM 2006»
15 years 6 months ago
Exploring Data Streams with Nonparametric Estimators
A variety of real-world applications requires a meaningful online analysis of transient data streams. An important building block of many analysis tasks is the characterization of...
Christoph Heinz, Bernhard Seeger
88
Voted
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 2 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu