Publications

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Srinivasan BV, Duraiswami R.  2009.  Efficient subset selection via the kernelized Rényi distance. Computer Vision, 2009 IEEE 12th International Conference on. :1081-1088.
Srinivasan BV, Garcia-Romero D, Zotkin DN, Duraiswami R.  2011.  Kernel partial least squares for speaker recognition. Twelfth Annual Conference of the International Speech Communication Association.
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 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 A.  2006.  Review of "The Random Projection Method by Santosh Vempala". SIGACT News. 37(4):41-43.
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 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 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.  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.
Srinivasan B V, Duraiswami R.  2011.  Kernelized Renyi distance for subset selection and similarity scoring. Technical Reports of the Computer Science Department.
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 B V, Duraiswami R.  2010.  Random sampling for estimating the performance of fast summations. Technical Reports of the Computer Science Department.
Srinivasan A.  2003.  On the approximability of clique and related maximization problems. Journal of Computer and System Sciences. 67(3):633-651.
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, 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.  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 A.  2007.  Randomized Algorithms and Probabilistic Analysis in Wireless Networking. Stochastic Algorithms: Foundations and ApplicationsStochastic Algorithms: Foundations and Applications. 4665:54-57.
Spring N, Mahajan R, Anderson T.  2003.  Quantifying the causes of path inflation. Topology. 100:2-1.
Spring N, Wetherall D.  2000.  A protocol-independent technique for eliminating redundant network traffic. ACM SIGCOMM Computer Communication Review. 30(4):87-95.

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