S. Chandrasekaran

S. Chandrasekaran, M. Gu, A. Sayed, 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

CNNs are Myopic

S. Chandrasekaran, V. C. Madala, 2022, ArXiv.

EXISTENCE RESULTS FOR NEUTRAL FUNCTIONAL INTEGRODIFFERENTIAL EQUATIONS WITH INFINITE DELAY IN BANACH SPACES

S. Chandrasekaran, S. Karunanithi, 2015 .

Improving the Accuracy of the Generalized Schur Algorithm

S. Chandrasekaran, A. Sayed, 1997 .

A fast and stable solver for recursively semi-separable systems of linear equations

Shivkumar Chandrasekaran, Ming Gu, S. Chandrasekaran, 2001 .

Exponentially weighted iterative solutions for worst case parameter estimation

S. Chandrasekaran, A. Sayed, A. Garulli, 1997 .

Fast indefinite multi-point (IMP) clustering

Shivkumar Chandrasekaran, S. Chandrasekaran, A. Rajagopal, 2017 .

Iterative solutions of min-max parameter estimation with bounded data uncertainties

Ali H. Sayed, Andrea Garulli, Shivkumar Chandrasekaran, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement

Larry S. Davis, B. S. Manjunath, Jake K. Aggarwal, 2015, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

A minimum Sobolev norm technique for the numerical discretization of PDEs

Hrushikesh Narhar Mhaskar, Shivkumar Chandrasekaran, H. Mhaskar, 2015, J. Comput. Phys..

A Stable and Efficient Algorithm for the Indefinite Linear Least-Squares Problem

Ming Gu, S. Chandrasekaran, A. H. Sayed, 1999, SIAM J. Matrix Anal. Appl..

Analysis of a QR Algorithm for Computing Singular Values

Ilse C. F. Ipsen, S. Chandrasekaran, S. Chandrasekaran, 1995, SIAM J. Matrix Anal. Appl..

Hierarchical scene understanding exploiting automatically derived contextual data

B. S. Manjunath, Kaushal Solanki, K. Sullivan, 2010, Defense + Commercial Sensing.

Drums, curve descriptors and affine invariant region matching

B. S. Manjunath, Shivkumar Chandrasekaran, Luca Bertelli, 2008, Image Vis. Comput..

Towards non-invasive electrocardiographic imaging using regularized neural networks

Shivkumar Chandrasekaran, Abhejit Rajagopal, Hua Lee, 2018, Medical Imaging.

Perturbation Theory for the Solution of Systems of Linear Equations

Ilse C. F. Ipsen, Shivkumar Chandrasekaran, S. Chandrasekaran, 1991 .

On the Approximation of Koopman Spectra for Measure Preserving Transformations

Shivkumar Chandrasekaran, Igor Mezic, Ryan Mohr, 2018, SIAM J. Appl. Dyn. Syst..

Fast algorithms for hierarchically semiseparable matrices

Jianlin Xia, Xiaoye S. Li, Shivkumar Chandrasekaran, 2010, Numer. Linear Algebra Appl..

BIT Numerical Mathematics: Editorial

Raymond H. Chan, A. C. Damhaug, Dimitri Breda, 2005 .

An Efficient and Stable Algorithm for the Symmetric-Definite Generalized Eigenvalue Problem

S. Chandrasekaran, S. Chandrasekaran, 2000, SIAM J. Matrix Anal. Appl..

A divide-and-conquer algorithm for the eigendecomposition of symmetric block-diagonal plus semiseparable matrices

Shivkumar Chandrasekaran, Ming Gu, S. Chandrasekaran, 2004, Numerische Mathematik.

Fast and stable two‐way algorithm for diagonal plus semi‐separable systems of linear equations

Sabine Van Huffel, Shivkumar Chandrasekaran, Nicola Mastronardi, 2001 .

Detecting GAN generated Fake Images using Co-occurrence Matrices pdf

B. S. Manjunath, Amit K. Roy-Chowdhury, Jawadul H. Bappy, 2019, Media Watermarking, Security, and Forensics.

Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions

B. S. Manjunath, S. Chandrasekaran, L. Nataraj, 2021, Media Watermarking, Security, and Forensics.

Detection, Attribution and Localization of GAN Generated Images pdf

B. S. Manjunath, Shivkumar Chandrasekaran, Tejaswi Nanjundaswamy, 2020, Media Watermarking, Security, and Forensics.

Stabilizing the Generalized Schur Algorithm

Ali H. Sayed, Shivkumar Chandrasekaran, S. Chandrasekaran, 1996, SIAM J. Matrix Anal. Appl..

Parameter estimation with multiple sources and levels of uncertainties

Ali H. Sayed, Shivkumar Chandrasekaran, S. Chandrasekaran, 2000, IEEE Trans. Signal Process..

Seam Carving Detection and Localization using Two-Stage Deep Neural Networks pdf

Lakshmanan Nataraj, Shivkumar Chandrasekaran, Tajuddin Manhar Mohammed, 2021, Lecture Notes in Electrical Engineering.

Superfast Multifrontal Method for Large Structured Linear Systems of Equations

Jianlin Xia, Xiaoye S. Li, Shivkumar Chandrasekaran, 2009, SIAM J. Matrix Anal. Appl..

SUPERFAST MULTIFRONTAL METHOD FOR STRUCTURED LINEAR SYSTEMS OF EQUATIONS

S. Chandrasekaran, G. M., J. Xia, 2007 .

HAPSSA: Holistic Approach to PDF malware detection using Signal and Statistical Analysis

B. S. Manjunath, Tajuddin Manhar Mohammed, S. Chandrasekaran, 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).

Sensor networks and inverse scattering

S. Chandrasekaran, K. Doshi, P. Dewilde, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

OMD: Orthogonal Malware Detection using Audio, Image, and Static Features

B. S. Manjunath, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).

A Fast Solver for HSS Representations via Sparse Matrices

Shivkumar Chandrasekaran, Patrick Dewilde, Ming Gu, 2006, SIAM J. Matrix Anal. Appl..

Some Fast Algorithms for Sequentially Semiseparable Representations

Alle-Jan van der Veen, Shivkumar Chandrasekaran, Patrick Dewilde, 2005, SIAM J. Matrix Anal. Appl..

Graph-Induced Rank Structures and their Representations

Ethan N. Epperly, S. Chandrasekaran, N. Govindarajan, 2019, ArXiv.

A Fast ULV Decomposition Solver for Hierarchically Semiseparable Representations

Shivkumar Chandrasekaran, Ming Gu, T. Pals, 2006, SIAM J. Matrix Anal. Appl..

Fast Stable Solver for Sequentially Semi-separable Linear Systems of Equations

Alle-Jan van der Veen, Shivkumar Chandrasekaran, Patrick Dewilde, 2002, HiPC.

Multipole for scattering computations: spectral discretization, stabilization, fast solvers

Shivkumar Chandrasekaran, T. Pals, S. Chandrasekaran, 2004 .

A Fast QR Algorithm for Companion Matrices

Jianlin Xia, Ming Gu, S. Chandrasekaran, 2007 .

On the Sensitivity of Solution Components in Linear Systems of Equations

Ilse C. F. Ipsen, S. Chandrasekaran, S. Chandrasekaran, 1995, SIAM J. Matrix Anal. Appl..

Adversarially Optimized Mixup for Robust Classification

B. S. Manjunath, S. Chandrasekaran, Srinjoy Chattopadhyay, 2021, ArXiv.

Detection of hiding in the least significant bit

B. S. Manjunath, Upamanyu Madhow, Shivkumar Chandrasekaran, 2004, IEEE Transactions on Signal Processing.

Steganalysis for Markov cover data with applications to images

B. S. Manjunath, Upamanyu Madhow, Shivkumar Chandrasekaran, 2006, IEEE Transactions on Information Forensics and Security.

On the Numerical Rank of the Off-Diagonal Blocks of Schur Complements of Discretized Elliptic PDEs

Shivkumar Chandrasekaran, Patrick Dewilde, Ming Gu, 2010, SIAM J. Matrix Anal. Appl..

Model Reduction in Symbolically Semi-separable Systems with Application to Pre-conditioners for 3D Sparse Systems of Equations

Patrick Dewilde, S. Chandrasekaran, P. Dewilde, 2009 .

On the Length and Area Regularization for Multiphase Level Set Segmentation

B. S. Manjunath, Shivkumar Chandrasekaran, Frédéric Gibou, 2010, International Journal of Computer Vision.

An eigenspace update algorithm for image analysis

B. S. Manjunath, Yuan-Fang Wang, Bangalore S. Manjunath, 1995, Proceedings of International Symposium on Computer Vision - ISCV.

Robust image-adaptive data hiding using erasure and error correction

B. S. Manjunath, Upamanyu Madhow, Kaushal Solanki, 2004, IEEE Transactions on Image Processing.

`Print and Scan' Resilient Data Hiding in Images

B. S. Manjunath, Upamanyu Madhow, Kaushal Solanki, 2006, IEEE Transactions on Information Forensics and Security.

Fast Algorithms for Displacement and Low-Rank Structured Matrices

Shivkumar Chandrasekaran, Abhejit Rajagopal, Nithin Govindarajan, 2018, ISSAC.

CNNs Avoid the Curse of Dimensionality by Learning on Patches

Vamshi C. Madala, S. Chandrasekaran, Jason Bunk, 2022, IEEE Open Journal of Signal Processing.

Steganalysis of spread spectrum data hiding exploiting cover memory

B. S. Manjunath, Upamanyu Madhow, Shivkumar Chandrasekaran, 2005, IS&T/SPIE Electronic Imaging.

Nonlinear electrocardiographic imaging using polynomial approximation networks

Shivkumar Chandrasekaran, Hua Lee, Abhejit Rajagopal, 2018, APL bioengineering.

On the Approximation of Koopman Spectra of Measure-Preserving Flows

Shivkumar Chandrasekaran, Ryan Mohr, Nithin Govindarajan, 2018, SIAM J. Appl. Dyn. Syst..

Minimum Sobolev norm interpolation of scattered derivative data

Hrushikesh Narhar Mhaskar, Shivkumar Chandrasekaran, C. H. Gorman, 2017, J. Comput. Phys..

Higher Order Numerical Discretization Methods with Sobolev Norm Minimization

Hrushikesh Narhar Mhaskar, Shivkumar Chandrasekaran, Ming Gu, 2011, ICCS.

MSNFD : A Higher Order Finite Difference Method for Solving Elliptic PDEs on scattered points (An Extended version of our paper submitted to ICCS 2011)

Hrushikesh Narhar Mhaskar, Ming Gu, K. R. Jayaraman, 2011 .

Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning

B. S. Manjunath, Tajuddin Manhar Mohammed, Tajuddin Manhar Mohammed, 2021, HICSS.

Determining Achievable Rates for Secure, Zero Divergence, Steganography

B. S. Manjunath, Upamanyu Madhow, Kaushal Solanki, 2006, 2006 International Conference on Image Processing.

Towards deep iterative-reconstruction algorithms for computed tomography (CT) applications

Michael A. King, Joyoni Dey, Shivkumar Chandrasekaran, 2019, Medical Imaging.

A construction of linear bounded interpolatory operators on the torus

H. Mhaskar, S. Chandrasekaran, S. Chandrasekaran, 2010, 1011.5448.

A Superfast Algorithm for Toeplitz Systems of Linear Equations

Shivkumar Chandrasekaran, Ming Gu, X. Sun, 2007, SIAM J. Matrix Anal. Appl..

The Degenerate Bounded Errors-in-Variables Model

Ali H. Sayed, Shivkumar Chandrasekaran, Ming Gu, 2001, SIAM J. Matrix Anal. Appl..

MalGrid: Visualization of Binary Features in Large Malware Corpora

B. S. Manjunath, Tajuddin Manhar Mohammed, S. Chandrasekaran, 2022, IEEE Military Communications Conference.

Exploiting Context for Robustness to Label Noise in Active Learning pdf

B. S. Manjunath, Sudipta Paul, Shivkumar Chandrasekaran, 2020, ArXiv.