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» Clustering with Instance-level Constraints
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TKDE
2010
224views more  TKDE 2010»
13 years 2 months ago
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
Yanhua Chen, Lijun Wang, Ming Dong
ICASSP
2011
IEEE
12 years 11 months ago
Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization
Alternating optimization algorithms for canonical polyadic decomposition (with/without nonnegative constraints) often accompany update rules with low computational cost, but could...
Anh Huy Phan, Petr Tichavský, Andrzej Cicho...
CIKM
2011
Springer
12 years 7 months ago
On the elasticity of NoSQL databases over cloud management platforms
NoSQL databases focus on analytical processing of large scale datasets, offering increased scalability over commodity hardware. One of their strongest features is elasticity, whi...
Ioannis Konstantinou, Evangelos Angelou, Christina...
CVPR
2006
IEEE
14 years 9 months ago
Learning Semantic Patterns with Discriminant Localized Binary Projections
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 8 months ago
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
Heterogeneous data co-clustering has attracted more and more attention in recent years due to its high impact on various applications. While the co-clustering algorithms for two t...
Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, ...