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Refereed publications:
  1. Srinivasan BV, Garcia-Romero D, Luo Y, Zotkin DN, Duraiswami R, "A symmetric kernel partial least squares framework for speaker recognition" (under review)
  2. Luo Y, Srinivasan BV, Durasiwami R, "Robust voice activity detection for speaker ID using i-vectors", 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 (under review)
  3. 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, "UMD-JHU Speaker Recognition System", 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 (under review)
  4. Srinivasan BV, Duraiswami R, "Kernelized Renyi distance for similarity scoring and subset selection" (under review)
  5. Srinivasan BV, Luo Y, Duraiswami R, Murtugudde R, "Efficient spatio-temporal kriging for missing-data reconstruction" (under review)
  6. Srinivasan BV, Hu Q, Gumerov NA, Duraiswami R, Murtugudde R, "Preconditioned Krylov solvers for kernel regression" (under review)
  7. Srinivasan BV, Gnanasambandam N, Zhao S, Minhas R, "Domain-specific adaptation of a partial least squares regression model for loan defaults prediction", 5th International Workshop on Domain Driven Data Mining (DDDM) held at the International Conference on Data Mining (ICDM), December 2011 [paper]
  8. Srinivasan BV, Garcia-Romero D, Zotkin DN, Duraiswami R, "Kernel partial least squares framework for speaker recognition", 12th Annual Conference of the International Speech Communication Association (INTERSPEECH), August 2011 [paper][slides]
  9. Srinivasan BV, Zotkin DN, Duraiswami R, "A partial least squares framework for speaker recognition", 36th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 [paper][poster]
  10. Srinivasan BV, Zotkin DN, Duraiswami R, "Partial least squares based speaker recognition system", Snowbird Learning Workshop, April 2011 [abstract]
  11. Srinivasan BV, Qi H, Duraiswami R, "GPUML: Graphical processors for speeding up kernel machines", Workshop on High Performance Analytics - Algorithms, Implementations, and Applications, Siam Conference on Data Mining, April 2010 [paper][slides][software]
  12. Srinivasan BV, Duraiswami R, Gumerov N, "Fast matrix-vector product based FGMRES for kernel machines", 11th Copper Mount Conference on Iterative Methods, April 2010 [abstract][slides]
  13. Srinivasan BV, Duraiswami R, Zotkin DN, "Kernelized Renyi distance for speaker recognition", 35th International Conference on Acoustics, Speech and Signal Processing, March 2010 [paper][poster]
  14. Srinivasan BV, Duraiswami R, Murtugudde R, "Efficient kriging for real-time spatio-temporal interpolation", 20th Conference on Probability and Statistics in the Atmospheric Sciences, American Meteorological Society, January 2010 [paper][poster]
  15. Srinivasan BV, Duraiswami R, "Scaling kernel machine learning algorithm via the use of GPUs", GPU Technology Conference, NVIDIA Research Summit, October 2009 [abstract][poster]
  16. Srinivasan BV, Duraiswami R, "Efficient subset selection based on the Renyi Entropy", 12th IEEE International Conference on Computer Vision, September 2009 [paper][poster]
  17. Morariu VI, Srinivasan BV, Raykar VC, Duraiswami R, Davis L, "Automatic online tuning for fast Gaussian summation", 22nd Annual Conference on Neural Information Procssing Systems, December 2008 [paper][poster][software]
  18. Antani S, Demner-Fushman D, Li J, Srinivasan BV, Thoma GR. "Exploring use of images in clinical articles for decision support in Evidence-Based Medicine", SPIE Electronic Imaging; Document Recognition and Retrieval, January 2008 [paper]
Technical Reports:
  1. Srinivasan BV, Duraiswami R, "Kernelized Renyi distance for similarity scoring and subset selection", CS-TR-4994, University of Maryland, College Park, MD, USA, October 2011 [technical report]
  2. Srinivasan BV, Schwartz WR, Duraiswami R, Davis L; "Partial least squares on graphical processor for efficient pattern recognition", CS-TR-4968, University of Maryland, College Park, MD, USA, October 2010 [technical report][software]
  3. Srinivasan BV, Duraiswami R; "Random Sampling for estimating the performance of fast summations", CS-TR-4969, University of Maryland, College Park, MD, USA, October 2010 [technical report]
Talks:
  1. "Scalable learning solutions for geostatistics and speaker recognition", Department of Computer Science, George Mason University, November 2010
  2. "Graphical processors and CUDA", to the Class of CMSC/AMSC 662, University of Maryland, College Park; November 2009.
  3. "Scalable machine learning algorithms: Applications in vision, speech and geostatistics" in IBM Research Lab, Delhi, India; Indian Institute of Technology, Madras, India and Indian Institute of Technology, Bombay; August 2009.
  4. "Fast Approaches to Statistical Data Analysis: Necessity to Inventions", in Indian Institute of Technology, Bombay; August 2009.
Posters:
  1. Srinivasan BV, Qi H, Duraiswami R, Gumerov; "Scaling kernel machines via graphical processors", Workshop on Recent Trends in Computer Vision, Computer Vision Laboratory, University of Maryland, College Park, February 2010 [poster]
  2. Srinivasan BV, Duraiswami R, Zotkin DN; "Efficient evaluation of a kernelized Renyi distance with applications in speech and vision", Workshop on Recent Trends in Computer Vision, Computer Vision Laboratory, University of Maryland, College Park, February 2010 [poster]
  3. Srinivasan BV, Duraiswami R; "The Kernelized Renyi Distance (KRD): An efficiently evaluated similarity measure with applications in learning, vision and speech", Machine Learning Summer School / Workshop, University of Chicago, June 2009 [poster]
  4. Srinivasan BV, Antani S, Demner-Fushman S, Thoma GR; "Identification and Segmentation of Multi-Panel Images in Biomedical Journal Articles", National Institute of Health Research Festival, October 2007 [poster]

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