Efficient data representation by selecting prototypes with importance weights KS Gurumoorthy, A Dhurandhar, G Cecchi, C Aggarwal 2019 IEEE International Conference on Data Mining (ICDM), 260-269, 2019 | 147* | 2019 |

Degenerate Kalman filter error covariances and their convergence onto the unstable subspace M Bocquet, KS Gurumoorthy, A Apte, A Carrassi, C Grudzien, ... SIAM/ASA Journal on Uncertainty Quantification 5 (1), 304-333, 2017 | 55 | 2017 |

A method for compact image representation using sparse matrix and tensor projections onto exemplar orthonormal bases KS Gurumoorthy, A Rajwade, A Banerjee, A Rangarajan IEEE Transactions on Image Processing 19 (2), 322-334, 2009 | 45 | 2009 |

Rank deficiency of Kalman error covariance matrices in linear time-varying system with deterministic evolution KS Gurumoorthy, C Grudzien, A Apte, A Carrassi, CKRT Jones SIAM Journal on Control and Optimization 55 (2), 741-759, 2017 | 25 | 2017 |

A Schrödinger equation for the fast computation of approximate Euclidean distance functions KS Gurumoorthy, A Rangarajan International Conference on Scale Space and Variational Methods in Computer …, 2009 | 25 | 2009 |

The Schrödinger distance transform (SDT) for point-sets and curves M Sethi, A Rangarajan, K Gurumoorthy 2012 IEEE Conference on Computer Vision and Pattern Recognition, 198-205, 2012 | 24 | 2012 |

Directly measuring material proportions using hyperspectral compressive sensing A Zare, P Gader, KS Gurumoorthy IEEE Geoscience and Remote Sensing Letters 9 (3), 323-327, 2011 | 15 | 2011 |

Variance-stabilization-based compressive inversion under Poisson or Poisson–Gaussian noise with analytical bounds P Bohra, D Garg, KS Gurumoorthy, A Rajwade Inverse Problems 35 (10), 105006, 2019 | 13* | 2019 |

Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back KS Gurumoorthy, A Banerjee, A Paul Operations Research Letters 37 (3), 159-162, 2009 | 12 | 2009 |

Distance transform gradient density estimation using the stationary phase approximation KS Gurumoorthy, A Rangarajan SIAM Journal on Mathematical Analysis 44 (6), 4250-4273, 2012 | 10 | 2012 |

SPOT: A framework for selection of prototypes using optimal transport KS Gurumoorthy, P Jawanpuria, B Mishra Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 8 | 2021 |

A fast eikonal equation solver using the schrodinger wave equation KS Gurumoorthy, AM Peter, BH Guan, A Rangarajan arXiv preprint arXiv:1403.1937, 2014 | 8* | 2014 |

A Schrödinger wave equation approach to the eikonal equation: Application to image analysis A Rangarajan, KS Gurumoorthy International Workshop on Energy Minimization Methods in Computer Vision and …, 2009 | 7 | 2009 |

The complex wave representation of distance transforms KS Gurumoorthy, A Rangarajan, A Banerjee Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th …, 2011 | 5 | 2011 |

Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation KS Gurumoorthy, A Rajwade, A Banerjee, A Rangarajan 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 5 | 2008 |

Recovery of joint probability distribution from one-way marginals: Low rank tensors and random projections J Vora, KS Gurumoorthy, A Rajwade 2021 IEEE Statistical Signal Processing Workshop (SSP), 481-485, 2021 | 4 | 2021 |

Think out of the package: Recommending package types for e-commerce shipments KS Gurumoorthy, S Sanyal, V Chaoji Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 4 | 2020 |

Dealing with frequency perturbations in compressive reconstructions with Fourier sensing matrices H Pandotra, E Malhotra, A Rajwade, KS Gurumoorthy Signal Processing 165, 57-71, 2019 | 4* | 2019 |

Using an information theoretic metric for compressive recovery under poisson noise S Patil, KS Gurumoorthy, A Rajwade Signal Processing 162, 35-53, 2019 | 4* | 2019 |

Classifier invariant approach to learn from positive-unlabeled data A Dhurandhar, K Gurumoorthy 2020 IEEE International Conference on Data Mining (ICDM), 102-111, 2020 | 3 | 2020 |