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» Clustering with the Connectivity Kernel
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PAMI
2012
12 years 2 days ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
EUSFLAT
2009
343views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
Towards an Interpretation of the Connectivity Analysis in the Frame of Fuzzy Equivalence Relations for Medical Diagnoses
Connectivity analysis methodology is suitable to find representative symptoms of a disease. This methodology describes connections between symptoms in particular way and then choos...
Tatiana Kiseliova
JMLR
2008
169views more  JMLR 2008»
13 years 9 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
EDBT
2006
ACM
116views Database» more  EDBT 2006»
14 years 9 months ago
VICO: Visualizing Connected Object Orderings
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...
USENIX
2003
13 years 11 months ago
Kernel Support for Faster Web Proxies
This paper proposes two mechanisms for reducing the communication-related overheads of Web applications. One mechanism is user-level connection tracking, which allows an applicati...
Marcel-Catalin Rosu, Daniela Rosu