Publications

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Srinivasan A.  2000.  Low-discrepancy sets for high-dimensional rectangles: a survey. Bulletin of the EATCS. 70:67-76.
Srinivasan BV, Duraiswami R.  2009.  Scaling kernel machine learning algorithm via the use of GPUs. GPU Technology Conference.
Srinivasan BV, Zotkin DN, Duraiswami R.  2011.  Partial least squares based speaker recognition system. Snowbird Learning Workshop.
Srinivasan A.  1997.  Improving the discrepancy bound for sparse matrices: better approximations for sparse lattice approximation problems. Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms. :692-701.
Srinivasan A.  1992.  A Generalization of Brooks' Theorem. Computer Science Technical Reports.
Srinivasan A.  2003.  On the approximability of clique and related maximization problems. Journal of Computer and System Sciences. 67(3):633-651.
Srinivasan A, Pandu Rangan C.  1991.  Efficient algorithms for the minimum weighted dominating clique problem on permutation graphs. Theoretical Computer Science. 91(1):1-21.
Srinivasan A.  2000.  The value of strong inapproximability results for clique. Proceedings of the thirty-second annual ACM symposium on Theory of computing. :144-152.
Srinivasan A.  2007.  Randomized Algorithms and Probabilistic Analysis in Wireless Networking. Stochastic Algorithms: Foundations and ApplicationsStochastic Algorithms: Foundations and Applications. 4665:54-57.
Srinivasan A.  1999.  Approximation algorithms via randomized rounding: a survey. Lectures on Approximation and Randomized Algorithms (M. Karonski and HJ Promel, editors), Series in Advanced Topics in Mathematics, Polish Scientific Publishers PWN. :9-71.
Srinivasan B V, Duraiswami R.  2011.  Kernelized Renyi distance for subset selection and similarity scoring. Technical Reports of the Computer Science Department.
Srinivasan A.  1993.  Techniques for probabilistic analysis and randomness-efficient computation. Computer Science Technical Reports, Cornell University.
Srinivasan B V, Duraiswami R.  2010.  Random sampling for estimating the performance of fast summations. Technical Reports of the Computer Science Department.
Srinivasan A.  2001.  New approaches to covering and packing problems. Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms. :567-576.
Srinivasan BV, Duraiswami R, Gumerov NA.  2010.  Fast matrix-vector product based fgmres for kernel machines. Copper Mountain Conference on Iterative Methods. 2
Sriram S, Bhattacharyya SS.  2000.  Embedded multiprocessors: Scheduling and synchronization. 3
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.
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.
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.  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.
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.

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