Karthik S. Gurumoorthy
According to our database1,
Karthik S. Gurumoorthy
authored at least 42 papers
between 2008 and 2023.
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Bibliography
2023
Analysis of Tomographic Reconstruction of 2D Images using the Distribution of Unknown Projection Angles.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Estimating Joint Probability Distribution with Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
CoRR, 2022
Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages.
CoRR, 2022
Go Green: A Decision-Tree Framework to Select Optimal Box-Sizes for Product Shipments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Two penalized estimators based on variance stabilization transforms for sparse compressive recovery with Poisson measurement noise.
Signal Process., 2021
Recovery of Joint Probability Distribution from One-Way Marginals: Low Rank Tensors and Random Projections.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Signal Process., 2019
Dealing with frequency perturbations in compressive reconstructions with Fourier sensing matrices.
Signal Process., 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection.
CoRR, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution.
SIAM J. Control. Optim., 2017
Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace.
SIAM/ASA J. Uncertain. Quantification, 2017
Stronger recovery guarantees for sparse signals exploiting coherence structure in dictionaries.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2015
2014
A new energy minimization framework and sparse linear system for path planning and shape from shading.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
A Schrödinger formalism for simultaneously computing the Euclidean distance transform and its gradient density.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
Automatic Determination of Anatomical Correspondences for Multimodal Field of View Correction.
Proceedings of the Pattern Recognition - 36th German Conference, 2014
2013
2012
Distance Transform Gradient Density Estimation Using the Stationary Phase Approximation.
SIAM J. Math. Anal., 2012
IEEE Geosci. Remote. Sens. Lett., 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Fast convolution-based methods for computing the signed distance function and its derivatives
CoRR, 2011
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011
2010
A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases.
IEEE Trans. Image Process., 2010
2009
Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back.
Oper. Res. Lett., 2009
A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009
2008
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008