Publications

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Srinivasan BV, Duraiswami R.  2009.  Scaling kernel machine learning algorithm via the use of GPUs. GPU Technology Conference.
Srinivasan A.  2008.  Improved algorithmic versions of the Lovász Local Lemma. Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms. :611-620.
Srinivasan BV, Zotkin DN, Duraiswami R.  2011.  Partial least squares based speaker recognition system. Snowbird Learning Workshop.
Srinivasan A.  2001.  Distributions on level-sets with applications to approximation algorithms. 42nd IEEE Symposium on Foundations of Computer Science, 2001. Proceedings. :588-597.
Srinivasan B V, Duraiswami R.  2011.  Kernelized Renyi distance for subset selection and similarity scoring. Technical Reports of the Computer Science Department.
Srinivasan A.  2007.  Approximation algorithms for stochastic and risk-averse optimization. Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. :1305-1313.
Srinivasan A.  1999.  Improved Approximation Guarantees for Packing and Covering Integer Programs. SIAM Journal on Computing. 29(2):648-648.
Srinivasan B V, Duraiswami R.  2010.  Random sampling for estimating the performance of fast summations. Technical Reports of the Computer Science Department.
Srinivasan A.  2006.  Review of "The Random Projection Method by Santosh Vempala". SIGACT News. 37(4):41-43.
Srinivasan B V, Schwartz W R, Duraiswami R, Davis LS.  2010.  Partial least squares on graphical processor for efficient pattern recognition. Technical Reports of the Computer Science Department.
Srinivasan A.  2008.  A note on the distribution of the number of prime factors of the integers. Information Processing Letters. 109(2):133-135.
Srinivasan BV, Duraiswami R, Gumerov NA.  2010.  Fast matrix-vector product based fgmres for kernel machines. Copper Mountain Conference on Iterative Methods. 2
Srinivasan A.  1996.  An extension of the Lovász Local Lemma, and its applications to integer programming. Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms. :6-15.
Srinivasan A.  1995.  Improved approximation guarantees for packing and covering integer programs. DIMACS Technical Report.
Srinivasan A.  2000.  Low-discrepancy sets for high-dimensional rectangles: a survey. Bulletin of the EATCS. 70:67-76.
Sriram S, Bhattacharyya SS.  2000.  Embedded multiprocessors: Scheduling and synchronization. 3
Srivastava S, Hicks MW, Foster JS.  2007.  Appendix to CMod: Modular Information Hiding and Type-Safe Linking for C. Technical Reports of the Computer Science Department.
Srivastava A, Damon JN, Dryden IL, Jermyn IH, Das S, Vaswani N, Huckemann S, Hotz T, Munk A, Lin Z et al..  2010.  SPECIAL SECTION ON SHAPE ANALYSIS AND ITS APPLICATIONS IN IMAGE UNDERSTANDING. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(4):0162-8828.
Srivastava S, Hicks MW, Foster JS, Jenkins P.  2008.  Modular Information Hiding and Type-Safe Linking for C. IEEE Transactions on Software Engineering. 34(3):357-376.
Srivastava S, Gulwani S, Foster JS.  2010.  From program verification to program synthesis. ACM SIGPLAN Notices. 45:313-326.
Stallmann M, Cleaveland R, Hebbar P.  1991.  Gdr: A visualization tool for graph algorithms.
Stamps BW, Leddy MB, Plumlee MH, Hasan NA, Colwell RR, Spear JR.  2018.  Characterization of the Microbiome at the World’s Largest Potable Water Reuse Facility. Frontiers in Microbiology.
Stantchev G, Juba D, Dorland W, Varshney A.  2009.  Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence. Computing in Science Engineering. 11(2):52-59.
Stantchev G, Juba D, Dorland W, Varshney A.  2007.  Plasma Turbulence Simulation and Visualization on Graphics Processors: Efficient Parallel Computing on the Desktop. Bulletin of the American Physical Society. Volume 52, Number 11
Stantchev G, Juba D, Dorland W, Varshney A.  2008.  Confluent Volumetric Visualization of Gyrokinetic Turbulence. Plasma Science, IEEE Transactions on. 36(4):1112-1113.

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