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ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
14 years 2 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
CORR
2010
Springer
255views Education» more  CORR 2010»
13 years 7 months ago
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
AMC
2007
128views more  AMC 2007»
13 years 7 months ago
Class label versus sample label-based CCA
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...
Tingkai Sun, Songcan Chen
SIMVIS
2004
13 years 9 months ago
Model-based Approach to Automatic 3D Seismic Horizon Correlation across Faults
Seismic data provide detailed information about subsurface structures. Reflection events visible in the seismic data are known as horizons, and indicate boundaries between differe...
Fitsum Admasu, Klaus D. Tönnies
SIAMJO
2010
127views more  SIAMJO 2010»
13 years 2 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye