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Computer Science

D-Index
34
Citations
14539
World Ranking
11874
National Ranking
296

Overview

Mila Nikolova was affiliated with the École Normale Supérieure Paris-Saclay in France. Their research spanned multiple fields, primarily focusing on Engineering and Earth and Planetary Sciences. Subfields included Computational Theory and Mathematics, Computational Mechanics, Geometry and Topology, Global and Planetary Change, and Aerospace Engineering.

The main topics covered in their work comprised Optimization and Variational Analysis, Sparse and Compressive Sensing Techniques, Fixed Point Theorems Analysis, Advanced Aircraft Design and Technologies, Rocket and Propulsion Systems Research, and Advanced Combustion Engine Technologies, as well as Remote-Sensing Image Classification.

The scientist authored several papers published in notable venues. Some of their recent publications included:

  • A Characterization of Proximity Operators (2020) in the Journal of Mathematical Imaging and Vision
  • Comparative study of the energy efficiency of diesel and hybrid powered light aircraft (2020) in IOP Conference Series Materials Science and Engineering
  • A two-stage method for spectral-spatial classification of hyperspectral images (2020) in the Journal of Mathematical Imaging and Vision
  • DETERMINATION OF DEPTH PARAMETERS OF SUBSURFACE VOIDS USING GRAVIMETRIC AND GLOBAL NAVIGATION SATELITTE SYSTEMS MEASUREMENTS (2024) in International Multidisciplinary Scientific GeoConference SGEM...
  • Application of artificial intelligence and GIS for integrated modeling of processes and factors related to the greening of urban environments (2025) in Acta Scientifica Naturalis

The scientist collaborated frequently with several coauthors, including:

  • Rémi Gribonval
  • Vladimir Serbezov
  • Raymond H. Chan
  • Kelvin K.W. Kan
  • Robert J. Plemmons

The publication venues where Mila Nikolova most often appeared included:

  • Journal of Mathematical Imaging and Vision
  • IOP Conference Series Materials Science and Engineering
  • International Multidisciplinary Scientific GeoConference SGEM...
  • Acta Scientifica Naturalis

Best Publications

  • An Algorithm for Total Variation Minimization and Applications

    Mila Nikolova

  • Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization

    R.H. Chan;Chung-Wa Ho;M. Nikolova

  • ALGORITHMS FOR FINDING GLOBAL MINIMIZERS OF IMAGE SEGMENTATION AND DENOISING MODELS

    Tony F. Chan;Selim Esedoglu;Mila Nikolova

  • A Variational Approach to Remove Outliers and Impulse Noise

    Mila Nikolova

  • Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery

    Mila Nikolova;Michael K. Ng

  • Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers

    Mila Nikolova

  • Local Strong Homogeneity of a Regularized Estimator

    Mila Nikolova

  • Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction

    Mila Nikolova;Michael K Ng;Chi-Pan Tam

  • An iterative procedure for removing random-valued impulse noise

    R.H. Chan;Chen Hu;M. Nikolova

  • Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization

    Mila Nikolova;Michael K. Ng;Shuqin Zhang;Wai-Ki Ching

  • Two-phase approach for deblurring images corrupted by impulse plus gaussian noise

    Jian-Feng Cai;Raymond H. Chan;Mila Nikolova

  • Efficient Minimization Methods of Mixed l 2- l 1 and l 1- l 1 Norms for Image Restoration

    Haoying Fu;Michael K. Ng;Mila Nikolova;Jesse L. Barlow

  • Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients

    Sylvain Durand;Jalal Fadili;Mila Nikolova

  • Fast Two-Phase Image Deblurring Under Impulse Noise

    Jian-Feng Cai;Raymond H. Chan;Mila Nikolova

  • ANALYSIS OF THE RECOVERY OF EDGES IN IMAGES AND SIGNALS BY MINIMIZING NONCONVEX REGULARIZED LEAST-SQUARES ∗

    Mila Nikolova

  • The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration

    M. Nikolova;R.H. Chan

  • Landmark Matching via Large Deformation Diffeomorphisms on the Sphere

    Joan Glaunès;Marc Vaillant;Michael I. Miller

  • Markovian reconstruction using a GNC approach

    M. Nikolova

  • Weakly Constrained Minimization: Application to the Estimation of Images and Signals Involving Constant Regions

    Mila Nikolova

  • Fast Hue and Range Preserving Histogram: Specification: Theory and New Algorithms for Color Image Enhancement.

    Mila Nikolova;Gabriele Steidl

  • Penalized likelihood regression for generalized linear models with non-quadratic penalties

    Anestis Antoniadis;Irène Gijbels;Mila Nikolova

Frequent Co-Authors

Raymond H. Chan
Raymond H. Chan Lingnan University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Robert J. Plemmons
Robert J. Plemmons Wake Forest University
Pierre Duhamel
Pierre Duhamel CentraleSupélec
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Wai-Ki Ching
Wai-Ki Ching University of Hong Kong
Rachid Deriche
Rachid Deriche French Institute for Research in Computer Science and Automation - INRIA
Jalal M. Fadili
Jalal M. Fadili École Nationale Supérieure d'Ingénieurs de Caen
Tieyong Zeng
Tieyong Zeng Chinese University of Hong Kong
Jian-Feng Cai
Jian-Feng Cai Hong Kong University of Science and Technology

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