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JMLR
2010
125views more  JMLR 2010»
14 years 11 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
16 years 2 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
SDM
2011
SIAM
198views Data Mining» more  SDM 2011»
14 years 7 months ago
Exemplar-based Robust Coherent Biclustering
The biclustering, co-clustering, or subspace clustering problem involves simultaneously grouping the rows and columns of a data matrix to uncover biclusters or sub-matrices of the...
Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
15 years 11 months ago
Adding Semantics to Email Clustering
This paper presents a novel algorithm to cluster emails according to their contents and the sentence styles of their subject lines. In our algorithm, natural language processing t...
Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Y...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
15 years 10 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar