Dan Kushnir
Dan Kushnir
Bell Laboratories
Verified email at
Cited by
Cited by
Manifold learning: The price of normalization.
Y Goldberg, A Zakai, D Kushnir, Y Ritov
Journal of Machine Learning Research 9 (8), 2008
Fast multiscale clustering and manifold identification
D Kushnir, M Galun, A Brandt
Pattern Recognition 39 (10), 1876-1891, 2006
Prediction of subscriber churn using social network analysis
C Phadke, H Uzunalioglu, VB Mendiratta, D Kushnir, D Doran
Bell Labs Technical Journal 17 (4), 63-76, 2013
Computation and visualization of cell–cell signaling topologies in single-cell systems data using Connectome
MSB Raredon, J Yang, J Garritano, M Wang, D Kushnir, JC Schupp, ...
Scientific Reports 12 (1), 4187, 2022
Anisotropic diffusion on sub-manifolds with application to earth structure classification
D Kushnir, A Haddad, RR Coifman
Applied and Computational Harmonic Analysis 32 (2), 280-294, 2012
Parametrization of linear systems using diffusion kernels
R Talmon, D Kushnir, RR Coifman, I Cohen, S Gannot
IEEE Transactions on Signal Processing 60 (3), 1159-1173, 2011
Root cause analysis for service degradation in computer networks
D Kushnir, A Akyamac, V Mendiratta, H Uzunalioglu, D Doran
US Patent 9,424,121, 2016
Efficient multilevel eigensolvers with applications to data analysis tasks
D Kushnir, M Galun, A Brandt
IEEE transactions on pattern analysis and machine intelligence 32 (8), 1377-1391, 2009
Geometry of intensive scalar dissipation events in turbulence
D Kushnir, J Schumacher, A Brandt
Physical review letters 97 (12), 124502, 2006
Texture separation via a reference set
A Haddad, D Kushnir, RR Coifman
Applied and Computational Harmonic Analysis 36 (2), 335-347, 2014
A highly accurate solver for stiff ordinary differential equations
D Kushnir, V Rokhlin
SIAM Journal on Scientific Computing 34 (3), A1296-A1315, 2012
Method and apparatus for determining user satisfaction with services provided in a communication network
H Uzunalioglu, JJ Spiess, D Kushnir
US Patent App. 13/853,760, 2014
Detecting and predicting outages in mobile networks with log data
VK Gurbani, D Kushnir, V Mendiratta, C Phadke, E Falk, R State
2017 IEEE International Conference on Communications (ICC), 1-7, 2017
System and method for generating subscriber churn predictions
CA Phadke, H Uzunalioglu, VB Mendiratta, D Kushnir, D Doran
US Patent 8,804,929, 2014
Diffusion-based deep active learning
D Kushnir, L Venturi
arXiv preprint arXiv:2003.10339, 2020
Causality inference for failures in NFV
D Kushnir, M Goldstein
2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2016
Alarm causality templates for network function virtualization
D Kushnir
US Patent 9,836,952, 2017
Classification of device problems of customer premises devices
D Kushnir, Y Geng, A Akyamac, C Phadke, H Uzunalioglu
US Patent App. 14/242,161, 2015
Active-transductive learning with label-adapted kernels
D Kushnir
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Method and apparatus for deriving composite tie metric for edge between nodes of a telecommunication call graph
VB Mendiratta, D Doran, C Phadke, H Uzunalioglu, D Kushnir
US Patent 9,159,077, 2015
The system can't perform the operation now. Try again later.
Articles 1–20