Fadida Specktor, B.[Bella]
* 2012: Hybrid Classifiers for Object Classification with a Rich Background
Includes: Fadida Specktor, B.[Bella] Fadida-Specktor, B.[Bella]
Fadiga, L.[Luciano]
* 2022: Change Matters! Measuring the Effect of Changing the Leader in Joint Music Performances, The
Fadilah, W.A.
* 2019: Multi-sensor 3d Recording Pipeline for The Documentation of Javanese Temples
Fadili, J.
* 2000: Brain tissue classification of magnetic resonance images using partial volume modeling
* 2000: Image Segmentation Via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications
* 2000: Unsupervised Segmentation of Three-dimensional Brain Images
* 2001: Segmentation of Magnetic Resonance Images Using Fuzzy Markov Random Fields
* 2002: Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images
* 2004: 3d medical image segmentation approach based on multi-label front propagation
* 2004: multi-label front propagation approach for object segmentation, A
* 2006: Region-Based Active Contour with Noise and Shape Priors
* 2006: Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms
* 2007: Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences
* 2008: Region-based active contours and sparse representations for texture segmentation
* 2009: Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients
* 2009: Optimization of Divergences within the Exponential Family for Image Segmentation
* 2009: Sparsity and morphological diversity for hyperspectral data analysis
* 2010: Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients
* 2010: Region-Based Active Contours with Exponential Family Observations
* 2011: 3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform
* 2012: Unbiased risk estimation for sparse analysis regularization
* 2012: Wasserstein active contours
* 2013: Generalized Forward-Backward Splitting, A
* 2014: Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection
* 2015: Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness
* 2015: Guest Editorial: Mathematics and Image Analysis
* 2017: JMIV Special Issue Mathematics and Image Analysis 2017
* 2019: Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA)
* 2020: Discrete p-bilaplacian Operators on Graphs
* 2020: Guest Editorial: Special Issue in Memory of Mila Nikolova
* 2023: Convergence Guarantees of Overparametrized Wide Deep Inverse Prior
* 2023: Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers
* 2023: Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification
* 2023: Provable Phase Retrieval with Mirror Descent
* 2023: Quasi-Newton Primal-dual Algorithm with Line Search, A
Includes: Fadili, J. Fadili, J.[Jalal]
32 for Fadili, J.
Fadili, J.M.[Jalal M.]
* 2004: Bayesian denoising in the wavelet-domain using an analytical approximate alpha-stable prior
* 2005: Analytical Form for a Bayesian Wavelet Estimator of Images Using the Bessel K Form Densities
* 2005: Bayesian Denoising Based on the Map Estimation In Wavelet-Domain Using Bessel K Form Prior
* 2006: closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior, A
* 2007: closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior, A
* 2007: Morphological Component Analysis: An Adaptive Thresholding Strategy
* 2007: Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging
* 2007: Sparsity and Morphological Diversity in Blind Source Separation
* 2007: Undecimated Wavelet Decomposition and its Reconstruction, The
* 2008: Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal
* 2009: Morphological Diversity and Sparsity for Multichannel Data Restoration
* 2009: Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations, A
* 2009: Total Variation Projection With First Order Schemes
* 2009: TV-regularized generation of planar images from omnicams
* 2010: Learning The Morphological Diversity
* 2011: Total Variation Projection With First Order Schemes
* 2014: On the convergence rates of proximal splitting algorithms
* 2019: Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs
Includes: Fadili, J.M.[Jalal M.] Fadili, J.M.
18 for Fadili, J.M.
Fadili, M.
* 2001: Wavelet Methods for Characterising Mono- and Poly-fractal Noise Structures in Shortish Time Series: an Application to Functional MRI
Fadili, M.J.
* 2004: Non-convex onion-peeling using a shape hull algorithm
* 2009: De-Quantizing Compressed Sensing with non-Gaussian constraints
* 2009: Image deconvolution by stein block thresholding
* 2009: Monotone operator splitting for optimization problems in sparse recovery
* 2009: overview of inverse problem regularization using sparsity, An
* 2010: Image Decomposition and Separation Using Sparse Representations: An Overview
* 2011: Data augmentation for galaxy density map reconstruction
* 2011: Inverse problems with poisson noise: Primal and primal-dual splitting
* 2011: Weighted fidelity in non-uniformly quantized compressed sensing
Includes: Fadili, M.J. Fadili, M.J.[M. Jalal]
9 for Fadili, M.J.
Fadili…, J.[Jalal]
* 2014: Guest Editorial
Fadiman, M.[Maria]
* 2023: Gauging Heat Vulnerability in Southeast Florida: A Multimodal Approach Integrating Physical Exposure, Sensitivity, and Adaptive Capacity