Berkant Savas - researchr alias

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Viewing Publication 1 - 13 from 13

2024

Visualization of Swedish News Articles: A Design StudyKostiantyn Kucher, Nellie Engström, Wilma Axelsson, Berkant Savas, Andreas Kerren. visigrapp 2024: 670-677 [doi]

2016

Clustered Matrix ApproximationBerkant Savas, Inderjit S. Dhillon. siammax, 37(4):1531-1555, 2016. [doi]

2012

2011

Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a TensorLars Eldén, Berkant Savas. siammax, 32(4):1422-1450, 2011. [doi]

Clustered low rank approximation of graphs in information science applicationsBerkant Savas, Inderjit S. Dhillon. sdm 2011: 164-175 [doi]

Scalable Affiliation Recommendation using Auxiliary NetworksVishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon. tist, 3(1):3, 2011. [doi]

2010

Supervised Link Prediction Using Multiple SourcesZhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon. icdm 2010: 923-928 [doi]

Quasi-Newton Methods on Grassmannians and Multilinear Approximations of TensorsBerkant Savas, Lek-Heng Lim. siamsc, 32(6):3352-3393, 2010. [doi]

2009

A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r::1, :: r::2, :: r::3):: Approximation of a TensorLars Eldén, Berkant Savas. siammax, 31(2):248-271, 2009. [doi]

2007

Handwritten digit classification using higher order singular value decompositionBerkant Savas, Lars Eldén. PR, 40(3):993-1003, 2007. [doi]

2006

Rank reduction and volume minimization approach to state-space subspace system identificationBerkant Savas, David Lindgren. sigpro, 86(11):3275-3285, 2006. [doi]

2005

The maximum likelihood estimate in reduced-rank regressionLars Eldén, Berkant Savas. nla, 12(8):731-741, 2005. [doi]

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