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» Distributed Information Regularization on Graphs
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108
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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 6 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
WIKIS
2010
ACM
15 years 4 months ago
Deep hypertext with embedded revision control implemented in regular expressions
While text versioning was definitely a part of the original hypertext concept [21, 36, 44], it is rarely considered in this context today. Still, we know that revision control un...
Victor S. Grishchenko
TNN
2010
154views Management» more  TNN 2010»
14 years 7 months ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
100
Voted
FCCM
2006
IEEE
113views VLSI» more  FCCM 2006»
15 years 6 months ago
GraphStep: A System Architecture for Sparse-Graph Algorithms
— Many important applications are organized around long-lived, irregular sparse graphs (e.g., data and knowledge bases, CAD optimization, numerical problems, simulations). The gr...
Michael DeLorimier, Nachiket Kapre, Nikil Mehta, D...
ASAP
2007
IEEE
144views Hardware» more  ASAP 2007»
15 years 6 months ago
A High-Throughput Programmable Decoder for LDPC Convolutional Codes
In this paper, we present and analyze a novel decoder architecture for LDPC convolutional codes (LDPCCCs). The proposed architecture enables high throughput and can be programmed ...
Marcel Bimberg, Marcos B. S. Tavares, Emil Mat&uac...