Berkant Savas

14 papers A* 2A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Visualization of Swedish News Articles: A Design Study.
VISIGRAPP (1): GRAPP, HUCAPP, IVAPP
Kostiantyn Kucher, Nellie Engström, Wilma Axelsson, Berkant Savas, Andreas Kerren
2016 J jnl
Clustered Matrix Approximation.
SIAM J. Matrix Anal. Appl.
Berkant Savas, Inderjit S. Dhillon
2012 A* conf
Clustered embedding of massive social networks.
SIGMETRICS
Han Hee Song, Berkant Savas, Tae Won Cho, Vacha Dave, Zhengdong Lu, Inderjit S. Dhillon, Yin Zhang, Lili Qiu
2012 — conf
Parallel Clustered Low-Rank Approximation of Graphs and Its Application to Link Prediction.
LCPC
Xin Sui, Tsung-Hsien Lee, Joyce Jiyoung Whang, Berkant Savas, Saral Jain, Keshav Pingali, Inderjit S. Dhillon
2011 A conf
Clustered low rank approximation of graphs in information science applications.
SDM
Berkant Savas, Inderjit S. Dhillon
2011 J jnl
Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a Tensor.
SIAM J. Matrix Anal. Appl.
Lars Eldén, Berkant Savas
2011 J jnl
Scalable Affiliation Recommendation using Auxiliary Networks.
ACM Trans. Intell. Syst. Technol.
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon
2010 J jnl
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors.
SIAM J. Sci. Comput.
Berkant Savas, Lek-Heng Lim
2010 A* conf
Supervised Link Prediction Using Multiple Sources.
ICDM
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon
2009 J jnl
A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r
SIAM J. Matrix Anal. Appl.
Lars Eldén, Berkant Savas
2008 — —
Algorithms in data mining using matrix and tensor methods.
Berkant Savas
2007 J jnl
Handwritten digit classification using higher order singular value decomposition.
Pattern Recognit.
Berkant Savas, Lars Eldén
2006 J jnl
Rank reduction and volume minimization approach to state-space subspace system identification.
Signal Process.
Berkant Savas, David Lindgren
2005 J jnl
The maximum likelihood estimate in reduced-rank regression.
Numer. Linear Algebra Appl.
Lars Eldén, Berkant Savas