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» Kernels and Regularization on Graphs
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PR
2010
145views more  PR 2010»
13 years 8 months ago
Graph-optimized locality preserving projections
Locality preserving projections (LPP) is a typical graph-based dimensionality reduction (DR) method, and has been successfully applied in many practical problems such as face recog...
Limei Zhang, Lishan Qiao, Songcan Chen
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 3 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
ICPR
2008
IEEE
14 years 11 months ago
Nonlocal graph regularization for image colorization
In this paper we present a simple colorization method that relies on nonlocal graph regularization. We introduce nonlocal discrete differential operators and a family of weighted ...
Abderrahim Elmoataz, Olivier Lezoray, Vinh-Thong T...
SPAA
2005
ACM
14 years 3 months ago
Peer-to-peer networks based on random transformations of connected regular undirected graphs
We present k-Flipper, a graph transformation algorithm that transforms regular undirected graphs. Given a path of k +2 edges it interchanges the end vertices of the path. By defin...
Peter Mahlmann, Christian Schindelhauer
FOCM
2006
97views more  FOCM 2006»
13 years 9 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou