People / Balaji Vasan Srinivasan
Balaji Vasan Srinivasan
Computer Scientist
I am a Computer Scientist at the Advanced Technology Labs, Adobe Systems Inc., Bangalore, India. My research interests span the areas of data mining, social data analytics, machine learning and high performance computing.
I completed my Ph.D. in Computer Science at the University of Maryland in September 2011, my thesis was on Scalable Learning Methods for Speaker Recognition and Geostatistics. I completed my M.S. in Electrical Engineering from University of Maryland in 2008 and B.E. in Electrical Engineering from Anna University (India) in 2006.
My work experience includes research internships at National Institutes of Health, Bethesda, MD (May - Aug 2007) and Xerox Research Center, Webster, NY (May - Aug 2011).
Professional Services |
Program Committee Member
Workshop on Big Learning, Algorithms, Systems and Tools for Learning at Scale as a part of Advances in Neural Information Processing Systems 2011
Reviewer
IEEE Transactions on Neural Networks, IEEE Transactions on Information Forensics and Security, WSEAS Transactions on Signal Processing
Publications |
A symmetric kernel partial least squares framework for speaker recognition
Srinivasan BV, Luo Y, Garcia-Romero D, Zotkin D, Duraiswami R (Mar 20, 2013)
UMD-JHU 2011 Speaker Recognition System
Garcia-Romero D, Zhou X, Zotkin D, Srinivasan BV, Luo Y, Ganapathy S, Thomas S, Nemala S, Sivaram GSVS, Mirbagheri M, Mallidi SH, Janu T, Rajan P, Mesgarani N, Elhilali M, Hermansy H, Shamma S, Duraiswami R (Mar 25, 2012)
In Proc. of 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan
Domain-specific adaptation of a partial least squares regression model for loan defaults prediction
Srinivasan BV, Gnanasambandam N, Zhao S, Minhas R (Dec 11, 2011)
In Proc. of 5th International Workshop on Domain Driven Data Mining (DDDM) held at the International Conference on Data Mining, Vancouver B.C., Canada
Kernelized Renyi distance for subset selection and similarity scoring
Srinivasan BV, Duraiswami R (Oct 12, 2011)
In CS-TR-4994, University of Maryland, College Park, MD
Scalable learning for geostatistics and speaker recognition
Srinivasan BV (Sep 15, 2011)
PhD Thesis, University of Maryland, College Park
Kernel partial least squares framework for speaker recognition
Srinivasan BV, Garcia-Romero D, Zotkin DN, Duraiswami R (Aug 27, 2011)
In Proc. of 12th Annual Conference of the International Speech Communication Association (INTERSPEECH), Florence, Italy
A partial least squares framework for speaker recognition
Srinivasan BV, Zotkin DN, Duraiswami R (May 22, 2011)
In Proc. of 36th IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic
Partial least squares based speaker recognition system
Srinivasan BV, Zotkin DN, Duraiswami R (Apr 13, 2011)
In Snowbird Learning Workshop, Fort Lauderdale, FL
Partial least squares on graphical processor for efficient pattern recognition
Srinivasan BV, Schwartz WR, Duraiswami R, Davis L (Oct 18, 2010)
In CS-TR-4968, University of Maryland, College Park, MD
Random sampling for estimating the performance of fast summations
Srinivasan BV, Duraiswami R (Oct 18, 2010)
In CS-TR-4969, University of Maryland, College Park, MD
GPUML: Graphical processors for speeding up kernel machines
(May 01, 2010)
In Proc. of Workshop on High Performance Analytics - Algorithms, Implementations, and Applications, Siam Conference on Data Mining, Columbus, OH
Fast matrix-vector product based FGMRES for kernel machines
Srinivasan BV, Duraiswami R, Gumerov N (Apr 04, 2010)
In 11th Copper Mount Conference on Iterative Methods, Copper Mountain, CO
Kernelized Rényi distance for speaker recognition
Srinivasan BV, Duraiswami R, Zotkin DN (Mar 14, 2010)
In Proc. of 35th International Conference on Acoustics, Speech and Signal Processing, Dallas, TX
Efficient kriging for real-time spatio-temporal interpolation
Srinivasan BV, Duraiswami R, Murtugudde R (Jan 18, 2010)
In 20th Conference on Probability and Statistics in the Atmospheric Sciences, American Meteorological Society, Atlanta, GA
Scaling kernel machine learning algorithm via the use of GPUs
Srinivasan BV, Duraiswami R (Oct 01, 2009)
In GPU Technology Conference, NVIDIA Research Summit, San Jose, CA
Efficient subset selection via the kernelized Rényi distance
Srinivasan BV, Duraiswami R (Sep 27, 2009)
In Proc. 12th IEEE International Conference on Computer Vision, Kyoto, Japan
Automatic online tuning for fast Gaussian summation
Morariu VI, Srinivasan BV, Raykar VC, Duraiswami R, Davis L (Dec 08, 2008)
In Proc. 22nd Annual Conference on Neural Information Procssing Systems, Vancouver B.C, Canada
Gaussian Process Regression for Model Estimation
Srinivasan BV (Nov 21, 2008)
Masters Thesis, University of Maryland, College Park, MD
Exploring use of images in clinical articles for decision support in Evidence-Based Medicine
Antani S, Demner-Fushman D, Li J, Srinivasan BV, Thoma GR (Jan 27, 2008)
In Proc. of SPIE Electronic Imaging; Document Recognition and Retrieval, San Jose, CA
