Christine De Mol
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Belgian applied mathematician
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Christine De Molmathematics Degrees
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Mathematics
Why Is Christine De Mol Influential?
(Suggest an Edit or Addition)According to Wikipedia, Christine De Mol is a Belgian applied mathematician and mathematical physicist interested in inverse problems, regularization, wavelets, and machine learning, and known for her work on proximal gradient methods and the application of proximal gradient methods for learning. She is a professor of mathematics at the Université libre de Bruxelles, and the former chair of the SIAM Activity Group on Imaging Science.
Christine De Mol's Published Works
Published Works
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint (2003) (4695)
- The Stability of Inverse Problems (1980) (615)
- Forecasting Using a Large Number of Predictors: Is Bayesian Regression a Valid Alternative to Principal Components? (2006) (569)
- Sparse and stable Markowitz portfolios (2007) (514)
- Elastic-net regularization in learning theory (2008) (255)
- Linear inverse problems with discrete data. I. General formulation and singular system analysis (1985) (205)
- Linear inverse problems with discrete data: II. Stability and regularisation (1988) (190)
- Feature selection for high-dimensional data (2009) (187)
- Optimal Combination of Survey Forecasts (2012) (77)
- A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data (2008) (72)
- Accelerating gradient projection methods for ℓ1-constrained signal recovery by steplength selection rules (2009) (70)
- Resolution in diffraction-limited imaging, a singular value analysis: IV. The case of uncertain localization or non-uniform illumination of the object (1984) (65)
- Generalised information theory for inverse problems in signal processing (1984) (53)
- A note on wavelet-based inversion algorithms (2002) (46)
- Regularized Iterative and Non-iterative Procedures for Object Restoration from Experimental Data (1983) (46)
- III Super-Resolution by Data Inversion (1996) (44)
- Matching Performance For Multiple Wafer Steppers Using An Advanced Metrology Procedure (1988) (43)
- A Sparsity-Enforcing Method for Learning Face Features (2009) (42)
- Super-resolution by data inversion (1996) (39)
- On the problems of object restoration and image extrapolation in optics (1979) (34)
- Regularized iterative and noniterative procedures for object restoration in the presence of noise: an error analysis (1983) (33)
- A Regularized Iterative Algorithm for Limited-angle Inverse Radon Transform (1983) (33)
- Super-resolution in confocal scanning microscopy: II. The incoherent case (1989) (31)
- A Regularized Framework for Feature Selection in Face Detection and Authentication (2009) (30)
- Sparsity-enforcing regularisation and ISTA revisited (2016) (28)
- Particle size distributions from spectral turbidity a singular-system analysis (1986) (27)
- Resolution beyond the diffraction limit for regularized object restoration (1980) (26)
- Stability problems in inverse diffraction (1981) (25)
- Analytic inversion formula for confocal scanning microscopy (1987) (23)
- A critical survey of regularized inversion methods (1992) (22)
- A note on stopping rules for iterative regularisation methods and filtered SVD (1987) (16)
- A Regularized Approach to Feature Selection for Face Detection (2007) (16)
- Particle Size Distributions from Fraunhofer Diffraction (1983) (15)
- Number of Degrees of Freedom in Inverse Diffraction (1983) (15)
- Restoration of optical objects using regularization. (1978) (14)
- Inverse imaging with mixed penalties (2004) (14)
- Super-resolution in confocal scanning microscopy: generalized inversion formulae (1992) (11)
- Extraction of polydispersity information in photon correlation spectroscopy (1988) (10)
- Ill-Posedness, Regularization and Number of Degrees of Freedom (1981) (10)
- A Fourier-based method for the restoration of chopped and nodded images (2003) (7)
- Particle Sizing by Inversion of Extinction Data (1988) (7)
- On the regularization of linear inverse problems in Fourier optics (1978) (6)
- Extraction of polydispersity information from photon correlation data (1989) (6)
- Sufficient conditions for the existence of bound states in a potential without spherical symmetry (1980) (5)
- Big data in economics: evolution or revolution? (2017) (5)
- Iterative inversion of experimental data in weighted spaces (1986) (4)
- Positive regularised solutions in electromagnetic inverse scattering (1986) (4)
- Improvements in 0.5-micron production wafer steppers (1991) (4)
- Regularized Blind Deconvolution with Poisson Data (2013) (4)
- APPLIED INVERSE PROBLEMS IN OPTICS (1987) (4)
- SVD for linear inverse problems (1995) (4)
- Matching of multiple-wafer steppers for 0.35-μm lithography using advanced optimization schemes (1993) (4)
- Resolution enhancement by data inversion techniques (1996) (3)
- Matching Management Of Multiple Wafer Steppers Using A Stable Standard And A Matching Simulator (1989) (3)
- Mapping 2-D defects in a conductive half-space by eigenfunction expansions in K-space of Fourier-Laplace transforms (1995) (2)
- Analysis of Elastic-Net Regularization in Learning Theory (2008) (2)
- Superresolution and number of degrees of freedom in inverse diffraction with subwavelength sources (1983) (2)
- Resolution Limits in Full — and Limited-Angle Tomography (1984) (2)
- Superresolution in confocal scanning microscopy: Theory of the incoherent case (1989) (2)
- The Agricultural and Persistent Pollution Subsystems in World3 (1978) (2)
- Signal Restoration from Band-Pass Filtered Data (1987) (1)
- Stability and Resolution in Electromagnetic Inverse Scattering - Part II (1985) (1)
- Signal restoration from bandpass-filtered data (1986) (1)
- The Superresolution Problem in Doppler Difference Laser Anemometry (1980) (1)
- Inversion Of Light Scattering Data By Singular System Analysis (1987) (1)
- Superresolution in linear inverse problems (1985) (1)
- A New Inversion Procedure For Confocal Scanning Microscopy And Other Bandlimited Signal Processing Problems (1987) (1)
- Application of Singular Systems to Some Data Reduction Problems in Modern Optics (1990) (1)
- A simple convergence proof of the ML-EM algorithm in the presence of background emission (2022) (1)
- The Use of Singular Systems and other Inversion Methods in Weighted L2- spaces (1987) (1)
- The Curse of Dimensionality and Regularization An early occurrence of the term ‘ Big (0)
- Inverse diffraction from far- and near-field data (1997) (0)
- How to beat the Rayleigh limit (1996) (0)
- Singular Value Analysis For Band-Pass Filtering Systems (1987) (0)
- Wavelets for solving inverse problems (2001) (0)
- Ill-posed Inverse Problems and Logarithmic Continuity in Electromagnetics (1980) (0)
- 2. On blind imaging, NMF and PET (2019) (0)
- Singular Bases For Image Processing In Confocal Scanning Microscopy (1987) (0)
- Regularization of an iterative algorithm for the extrapolation of bandlimited signals (1983) (0)
- New data inversion formula in confocal scanning microscopy (1992) (0)
- Object Restoration Beyond the Rayleigh Limit in the Presence of Noise (1978) (0)
- In memoriam Mario Bertero (2022) (0)
- Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14) (2014) (0)
- Inversion from redundant data (1993) (0)
- Quantum-inspired classification based on quantum state discrimination (2023) (0)
- Total variation reconstruction from quasi-random samples (2014) (0)
- Blind inverse imaging with positivity constraints (2014) (0)
- On an iterative algorithm for stabilised object restoration from limited spectral data (1983) (0)
- An overview of some mathematical methods for medical imaging (2008) (0)
- Sparsity in Learning Theory (2010) (0)
- Superresolution: an ill-posed problem in Fourier optics (1979) (0)
- Coherent states, wavelets and applications G24 - LLN (2003) (0)
- Stability and resolution in electromagnetic inverse problems (1993) (0)
- The Use of Singular Systems in Inverse Problems in Signal Processing (1986) (0)
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What Schools Are Affiliated With Christine De Mol?
Christine De Mol is affiliated with the following schools: