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SDM
2011
SIAM
241views Data Mining» more  SDM 2011»
14 years 7 months ago
A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
Yunlong He, Renato Monteiro, Haesun Park
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
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 5 months ago
Spectral domain-transfer learning
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, ...
KDD
2003
ACM
99views Data Mining» more  KDD 2003»
16 years 5 months ago
Fragments of order
High-dimensional collections of 0-1 data occur in many applications. The attributes in such data sets are typically considered to be unordered. However, in many cases there is a n...
Aristides Gionis, Teija Kujala, Heikki Mannila
IPPS
2005
IEEE
15 years 10 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules
Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-the-shelf systems are not designed for high reliability. Node failures therefore...
Sebastian Gerlach, Roger D. Hersch