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» Iterative Subgraph Mining for Principal Component Analysis
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WEBI
2007
Springer
14 years 11 days ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
TIFS
2008
157views more  TIFS 2008»
13 years 6 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
PVLDB
2008
163views more  PVLDB 2008»
13 years 5 months ago
C-DEM: a multi-modal query system for Drosophila Embryo databases
The amount of biological data publicly available has experienced an exponential growth as the technology advances. Online databases are now playing an important role as informatio...
Fan Guo, Lei Li, Christos Faloutsos, Eric P. Xing
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 6 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu