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» Experiments on Graph Clustering Algorithms
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KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 9 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
DSN
2003
IEEE
14 years 2 months ago
Evaluation of Fault Handling of the Time-Triggered Architecture with Bus and Star Topology
Arbitrary faults of a single node in a time-triggered architecture (TTA) bus topology system may cause error propagation to correct nodes and may lead to inconsistent system state...
Astrit Ademaj, Håkan Sivencrona, Günthe...
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
14 years 3 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
TIP
2010
154views more  TIP 2010»
13 years 7 months ago
Projective Nonnegative Graph Embedding
—We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding (PNGE), which 1) explicitly decomposes the data ...
Xiaobai Liu, Shuicheng Yan, Hai Jin
APPROX
2007
Springer
99views Algorithms» more  APPROX 2007»
14 years 3 months ago
Eigenvectors of Random Graphs: Nodal Domains
We initiate a systematic study of eigenvectors of random graphs. Whereas much is known about eigenvalues of graphs and how they reflect properties of the underlying graph, relati...
Yael Dekel, James R. Lee, Nathan Linial