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Berkant Savas
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2020 – today
- 2024
- [c5]Kostiantyn Kucher, Nellie Engström, Wilma Axelsson, Berkant Savas, Andreas Kerren:
Visualization of Swedish News Articles: A Design Study. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024: 670-677
2010 – 2019
- 2016
- [j8]Berkant Savas, Inderjit S. Dhillon:
Clustered Matrix Approximation. SIAM J. Matrix Anal. Appl. 37(4): 1531-1555 (2016) - 2012
- [c4]Xin Sui, Tsung-Hsien Lee, Joyce Jiyoung Whang, Berkant Savas, Saral Jain, Keshav Pingali, Inderjit S. Dhillon:
Parallel Clustered Low-Rank Approximation of Graphs and Its Application to Link Prediction. LCPC 2012: 76-95 - [c3]Han Hee Song, Berkant Savas, Tae Won Cho, Vacha Dave, Zhengdong Lu, Inderjit S. Dhillon, Yin Zhang, Lili Qiu:
Clustered embedding of massive social networks. SIGMETRICS 2012: 331-342 - 2011
- [j7]Lars Eldén, Berkant Savas:
Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a Tensor. SIAM J. Matrix Anal. Appl. 32(4): 1422-1450 (2011) - [j6]Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon:
Scalable Affiliation Recommendation using Auxiliary Networks. ACM Trans. Intell. Syst. Technol. 3(1): 3:1-3:20 (2011) - [c2]Berkant Savas, Inderjit S. Dhillon:
Clustered low rank approximation of graphs in information science applications. SDM 2011: 164-175 - 2010
- [j5]Berkant Savas, Lek-Heng Lim:
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors. SIAM J. Sci. Comput. 32(6): 3352-3393 (2010) - [c1]Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon:
Supervised Link Prediction Using Multiple Sources. ICDM 2010: 923-928
2000 – 2009
- 2009
- [j4]Lars Eldén, Berkant Savas:
A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r1, r2, r3) Approximation of a Tensor. SIAM J. Matrix Anal. Appl. 31(2): 248-271 (2009) - 2007
- [j3]Berkant Savas, Lars Eldén:
Handwritten digit classification using higher order singular value decomposition. Pattern Recognit. 40(3): 993-1003 (2007) - 2006
- [j2]Berkant Savas, David Lindgren:
Rank reduction and volume minimization approach to state-space subspace system identification. Signal Process. 86(11): 3275-3285 (2006) - 2005
- [j1]Lars Eldén, Berkant Savas:
The maximum likelihood estimate in reduced-rank regression. Numer. Linear Algebra Appl. 12(8): 731-741 (2005)
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