Tensors

A Scalable Optimization Approach for Fitting Canonical Tensor Decompositions

E. Acar, D. M. Dunlavy and T. G. Kolda, Journal of Chemometrics, 2011

Making Tensor Factorizations Robust to Non-Gaussian Noise

E. C. Chi and T. G. Kolda, In NIPS Workshop on Tensors, Kernels, and Machine Learning, 2010

Scalable Tensor Factorizations with Missing Data

E. Acar, D. M. Dunlavy, T. G. Kolda and M. Mørup, In SDM10: Proceedings of the 2010 SIAM International Conference on Data Mining, 2010

Link Prediction on Evolving Data using Matrix and Tensor Factorizations

E. Acar, D. M. Dunlavy and T. G. Kolda, In ICDMW’09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, 2009

Tensor Decompositions and Applications

T. G. Kolda and B. W. Bader, SIAM Review, 2009

Scalable Tensor Decompositions for Multi-aspect Data Mining

T. G. Kolda and J. Sun, In ICDM 2008: Proceedings of the 8th IEEE International Conference on Data Mining, 2008

CPOPT: Optimization for Fitting CANDECOMP/PARAFAC Models (extended abstact)

E. Acar, D. M. Dunlavy and T. G. Kolda, In CASTA 2008: Workshop on Computational Algebraic Statistics, Theories and Applications, 2008

Multi-way Data Analysis and Applications (extended abstract)

T. G. Kolda and B. W. Bader, In Proceedings of the 2008 Sandia Workshop on Data Mining and Data Analysis, 2008

Efficient MATLAB Computations with Sparse and Factored Tensors

B. W. Bader and T. G. Kolda, SIAM Journal on Scientific Computing, 2007

Extracting Clusters from Large Datasets with Multiple Similarity Measures Using IMSCAND

T. M. Selee, T. G. Kolda, W. P. Kegelmeyer and J. D. Griffin, In CSRI Summer Proceedings 2007, 2007