Raj Rao Nadakuditi
Orcid: 0000-0002-5506-1631
According to our database1,
Raj Rao Nadakuditi
authored at least 64 papers
between 2004 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Found. Comput. Math., October, 2023
Found. Comput. Math., June, 2023
Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise.
Trans. Mach. Learn. Res., 2023
2020
IEEE Trans. Computational Imaging, 2020
SIAM J. Appl. Dyn. Syst., 2020
2019
IEEE Trans. Computational Imaging, 2019
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video.
IEEE Trans. Computational Imaging, 2019
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting.
CoRR, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Passive Radar Detection With Noisy Reference Channel Using Principal Subspace Similarity.
IEEE Trans. Aerosp. Electron. Syst., 2018
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging.
IEEE Trans. Medical Imaging, 2017
Improved Detection of Correlated Signals in Low-Rank-Plus-Noise Type Data Sets Using Informative Canonical Correlation Analysis (ICCA).
IEEE Trans. Inf. Theory, 2017
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems.
IEEE Trans. Computational Imaging, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Augmented robust PCA for foreground-background separation on noisy, moving camera video.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Robust PCA: Low rank matrix estimation with hard or soft thresholding-based outlier rejection.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Consistency and MSE Performance of MUSIC-Based DOA of a Single Source in White Noise With Randomly Missing Data.
IEEE Trans. Signal Process., 2015
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method.
CoRR, 2015
Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Random matrix theory inspired passive bistatic radar detection with noisy reference signal.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices.
Proceedings of the 18th International Conference on Information Fusion, 2015
Algorithms for estimation of low-rank matrices with triple Kronecker structured singular vectors.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
Fundamental limits of singular value based signal detection from randomly compressed signal-plus-noise matrices.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
Improving multiset canonical correlation analysis in high dimensional sample deficient settings.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
OptShrink: An Algorithm for Improved Low-Rank Signal Matrix Denoising by Optimal, Data-Driven Singular Value Shrinkage.
IEEE Trans. Inf. Theory, 2014
Batch latency analysis and phase transitions for a tandem of queues with exponentially distributed service times.
Queueing Syst. Theory Appl., 2014
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Theoretical performance analysis of Tucker Higher Order SVD in extracting structure from multiple signal-plus-noise matrices.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
The Performance of a Matched Subspace Detector That Uses Subspaces Estimated From Finite, Noisy, Training Data.
IEEE Trans. Signal Process., 2013
ACM Trans. Design Autom. Electr. Syst., 2013
When are the most informative components for inference also the principal components?
CoRR, 2013
Optimally weighted recovery of a low-rank signal matrix from a high-dimensional signal-plus-noise matrix.
CoRR, 2013
2012
The singular values and vectors of low rank perturbations of large rectangular random matrices.
J. Multivar. Anal., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
An iterative, backscatter-analysis based algorithm for increasing transmission through a highly-backscattering random medium.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
The performance of deterministic matched subspace detectors when using subspaces estimated from noisy, missing data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
2011
Proceedings of the Information Theory and Applications Workshop, 2011
Misaligned Principal Components Analysis: Application to gene expression time series analysis.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Improving and characterizing the performance of stochastic matched subspace detectors when using noisy estimated subspaces.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
Fundamental Limit of Sample Generalized Eigenvalue Based Detection of Signals in Noise Using Relatively Few Signal-Bearing and Noise-Only Samples.
IEEE J. Sel. Top. Signal Process., 2010
Proceedings of the 47th Design Automation Conference, 2010
2008
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples.
IEEE Trans. Signal Process., 2008
2006
2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
IEEE Trans. Signal Process., 2004