Dougados, M.[Maxime]
* 2022: Incrementally Semi-Supervised Classification of Arthritis Inflammation on a Clinical Dataset
Dougherty, A.[Anne]
* 2004: Improving non-negative matrix factorizations through structured initialization
* 2009: Non-negative matrix factorization: Ill-posedness and a geometric algorithm
* 2016: Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition
Includes: Dougherty, A.[Anne] Dougherty, A.[Alan]
Dougherty, A.W.[Alan William]
* 2023: MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation
Dougherty, D.E.
* 2001: Three-dimensional Bayesian optical image reconstruction with domain decomposition
Dougherty, E.R.
* 1988: Closed-Form Representation of Convolution, Dilation, and Erosion in the Context of Image Algebra
* 1988: Morphology on Umbra Matrices
* 1988: Robust Image Processing Language in the Context of Image Algebra, A
* 1989: Dual Representation of Gray-Scale Morphological Filters, The
* 1990: Hausdorf-metric interpretation of convergence in the Matheron topology for binary mathematical morphology
* 1991: Application of the Hausdorff Metric in Gray-Scale Mathematical Morphology via Truncated Umbrae
* 1991: Image Algebra and Morphological Image Processing II
* 1991: Morphological Hit-or-Miss Transformation for Shape Recognition
* 1991: Nonlinear Image Processing II
* 1992: Asymptotic Normality of the Morphological Pattern-Spectrum Moments and Orthogonal Granulometric Generators
* 1992: Estimation of Optimal Morphological TAU-opening Parameters Based on Independent Observation of Signal and Noise Pattern Spectra
* 1992: Euclidean Gray-Scale Granulometries: Representation and Umbra Inducement
* 1992: Fuzzy Mathematical Morphology
* 1992: Hole-Spectrum Representation and Model-Based Optimal Morphological Restoration of Binary Images Degraded by Subtractive Noise
* 1992: Image Algebra and Morphological Image Processing III
* 1992: Mathematical Nonlinear Image Processing
* 1992: Model-Based Characterization of Statistically Optimal Design for Morphological Shape Recognition Algorithms via the Hit-or-Miss Transform
* 1992: Morphological Texture-Based Maximum-Likelihood Pixel Classification Based on Local Granulometric Moments
* 1992: Nonlinear Image Processing III
* 1992: Optimal Mean-Square N-Observation Digital Morphological Filters: II. Optimal Gray-Scale Filters
* 1992: Robust Morphologically Continuous Fourier Descriptors I: Projection-Generated Descriptions
* 1992: Robust Morphologically Continuous Fourier Descriptors II: Continuity and Occlusion Analysis
* 1992: Statistics of the Morphological Pattern-Spectrum Moments for a Random Grain Model
* 1992: Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part I: Binary Filters
* 1992: Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part II: Gray-Scale Filters
* 1992: use of first-order structuring-element libraries to design morphological filters, The
* 1993: Gray-scale granulometries compatible with spatial scalings
* 1993: Image Algebra and Morphological Image Processing IV
* 1993: Linear Granulometric Moments of Noisy Binary Images
* 1993: Model-Based Algorithm for Designing Suboptimal Morphological Filters for Restoring Subtractive-Noise-Corrupted Images, A
* 1993: Nonlinear Image Processing IV
* 1994: Computational mathematical morphology
* 1994: Digital Image Processing Methods
* 1994: Image Algebra and Morphological Image Processing V
* 1994: Nonlinear Image Processing V
* 1994: Optimal Mean-Absolute-Error Filtering of Gray-Scale Signals by the Morphological Hit-or-Miss Transform
* 1994: Precision of morphological representation estimators for translation invariant binary filters: Increasing and nonincreasing
* 1995: Mean-Absolute-Error Representation and Optimization of Computational-Morphological Filters
* 1995: Model-Based Morphology: The Opening Spectrum
* 1995: Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries
* 1995: Nonlinear Image Processing VI
* 1995: Representation of Linear Granulometric Moments for Deterministic and Random Binary Euclidean Images
* 1996: Adaptive Reconstructive Tau-Openings: Convergence and the Steady-State Distribution
* 1996: Bayesian Morphological Peak Estimation and Its Application to Chromosome Counting Via Fluorescence in-Situ Hybridization
* 1996: Existence and Synthesis of Minimal-Basis Morphological Solutions for a Restoration-Based Boundary-Value Problem
* 1996: Nonlinear Image Processing VII
* 1997: Automatic Programming of Binary Morphological Machines by Design of Statistically Optimal Operators in the Context of Computational Learning Theory
* 1997: Logically Efficient Spatial-Resolution Conversion Using Paired Increasing Operators
* 1997: Maximum-Likelihood-Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear Samples
* 1997: Nonlinear Image Processing VIII
* 1997: Optimal Binary Morphological Bandpass-Filters Induced by Granulometric Spectral Representation
* 1998: Asymptotic Granulometric Mixing Theorem: Morphological Estimation of Sizing Parameters and Mixture Proportions
* 1998: Mathematical Modeling and Estimation Techniques in Computer Vision
* 1998: Nonlinear Image Processing IX
* 1998: Robustness of Optimal Binary Filters
* 1999: Design and Analysis of Robust Binary Filters in the Context of a Prior Distribution for the States of Nature
* 1999: Markovian Analysis of Adaptive Reconstructive Multiparameter t-Openings
* 1999: Maximum-likelihood estimation and optimal filtering in the nondirectional, one-dimensional binomial germ-grain model
* 1999: Nonlinear Filters for Image Processing
* 1999: Nonlinear Image Processing X
* 1999: Robustness of granulometric moments
* 2000: Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation, A
* 2000: Heterogeneous morphological granulometries
* 2000: switching algorithm for design of optimal increasing binary filters over large windows, A
* 2000: Training Neural Networks to Count White Blood Cells Via a Minimum Counting Error Objective Function
* 2001: Asymptotic joint normality of the granulometric moments
* 2001: Morphological granulometric estimation of random patterns in the context of parameterized random sets
* 2001: Multiresolution Analysis for Optimal Binary Filters
* 2001: Non-homothetic granulometric mixing theory with application to blood cell counting
* 2001: Optimal Conjunctive Granulometric Bandpass Filters
* 2001: Robust optimal granulometric bandpass filters
* 2002: Granulometric Size Density for Segmented Random-Disk Models
* 2002: Multiresolution Design of Aperture Operators
* 2002: Optimal linear granulometric estimation for random sets
* 2002: Pattern Recognition Theory in Nonlinear Signal Processing
* 2002: Simulation Toolbox for 3D-FISH Spot-Counting Algorithms
* 2003: Design of optimal binary filters under joint multiresolution-envelope constraint
* 2003: Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements
* 2003: Hands-on Morphological Image Processing
* 2004: Bolstered error estimation
* 2004: Classifier performance as a function of distributional complexity
* 2004: Lattice-Based Minimal Gray-Scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter, A
* 2004: Nonlinear Filter Design Using Envelopes
* 2004: Optimal Filters with Multiresolution Apertures
* 2004: probabilistic theory of clustering, A
* 2005: coefficient of intrinsic dependence (feature selection using el CID), The
* 2005: Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution
* 2005: Exact performance of error estimators for discrete classifiers
* 2005: Feature selection algorithms to find strong genes
* 2005: fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics, The
* 2005: Impact of error estimation on feature selection
* 2005: Optimal robust classifiers
* 2006: Optimal convex error estimators for classification
* 2007: Model-based evaluation of clustering validation measures
* 2008: peaking phenomenon in the presence of feature-selection, The
* 2009: effect of microarray image compression on expression-based classification, The
* 2009: On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers
* 2009: Performance of feature-selection methods in the classification of high-dimension data
* 2010: Exact correlation between actual and estimated errors in discrete classification
* 2013: Analytical study of performance of linear discriminant analysis in stochastic settings
* 2013: Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification
* 2013: Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models
* 2013: Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis
* 2013: Relationship between the accuracy of classifier error estimation and complexity of decision boundary
* 2013: reliability of estimated confidence intervals for classification error rates when only a single sample is available, The
* 2014: Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model
* 2015: Discrete optimal Bayesian classification with error-conditioned sequential sampling
* 2018: fast Branch-and-Bound algorithm for U-curve feature selection, A
* 2018: Optimal Bayesian Transfer Regression
Includes: Dougherty, E.R. Dougherty, E.R.[Edward R.]
109 for Dougherty, E.R.
Dougherty, G.
* 2009: Medical imaging: An illustrated overview
* 2011: Medical Image Processing: Techniques and Applications
* 2013: Pattern Recognition and Classification: An Introduction
Includes: Dougherty, G. Dougherty, G.[Geoff]
Dougherty, L.
* 1999: Validation of an optical flow method for tag displacement estimation
Dougherty, M.
* 2005: Road and traffic sign detection and recognition
* 2006: Road Sign Detection and Recognition Using A Fuzzy ARTMAP: A Case Study Swedish Speed-Limit Signs
* 2007: Invariant Road Sign Recognition with Fuzzy ARTMAP and Zernike Moments
* 2007: SVM Based Traffic Sign Classification Using Legendre Moments
* 2008: Traffic sign classification using invariant features and Support Vector Machines
Dougherty, M.J.[Michael J.]
* 2021: Analysis of Land Development Drivers Using Geographically Weighted Ridge Regression
Dougherty, R.F.
* 2016: Hybrid-Space SENSE Reconstruction for Simultaneous Multi-Slice MRI
Dougherty, S.[Sean]
* 1998: Objective Evaluation of Edge Detectors Using a Formally Defined Framework
* 1998: Objective Evaluation of Edge Detectors Using a Formally Defined Framework
* 1998: ROC curve evaluation of edge detector performance
* 1999: Edge Detector Evaluation Using Empirical ROC Curves
* 2001: Edge Detector Evaluation Using Empirical ROC Curves
Includes: Dougherty, S.[Sean] Dougherty, S.
Doughty, C.E.[Christopher E.]
* 2018: Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery
Doughty, C.L.[Cheryl L.]
* 2019: Mapping Coastal Wetland Biomass from High Resolution Unmanned Aerial Vehicle (UAV) Imagery
Doughty, H.[Hazel]
* 2018: Scaling Egocentric Vision: The Epic Kitchens Dataset
* 2018: Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
* 2019: Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos, The
* 2020: Action Modifiers: Learning From Adverbs in Instructional Videos
* 2021: EPIC-KITCHENS Dataset: Collection, Challenges and Baselines, The
* 2021: On Semantic Similarity in Video Retrieval
* 2022: Audio-Adaptive Activity Recognition Across Video Domains
* 2022: How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
* 2022: How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?
* 2022: Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
* 2023: Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
* 2024: Background no more: Action recognition across domains by causal interventions
Includes: Doughty, H.[Hazel] Doughty, H.
12 for Doughty, H.
Doughty, P.
* 2021: Performance Evaluation and Compatibility Studies of a Compact Preclinical Scanner for Simultaneous PET/MR Imaging at 7 Tesla
Doughty, R.[Russell]
* 2017: mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform, A
* 2018: Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987-2015
* 2020: Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine
Doughty, R.B.[Russell B.]
* 2018: Underestimates of Grassland Gross Primary Production in MODIS Standard Products
* 2019: Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
* 2019: Spatial, temporal, and spectral variations in albedo due to vegetation changes in China's grasslands
* 2020: Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
* 2021: Mapping Croplands in the Granary of the Tibetan Plateau Using All Available Landsat Imagery, A Phenology-Based Approach, and Google Earth Engine
Doughty, R.N.[Robert N.]
* 2021: In Vivo Pressure-Volume Loops and Chamber Stiffness Estimation Using Real-Time 3D Echocardiography and Left Ventricular Catheterization: Application to Post-heart Transplant Patients
Douglas Cowie, E.[Ellen]
* 2012: Guest Editorial: Special Section on Naturalistic Affect Resources for System Building and Evaluation
Includes: Douglas Cowie, E.[Ellen] Douglas-Cowie, E.[Ellen]
Douglas Mankin, K.R.[Kyle R.]
* 2019: Long-Term (1986-2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration
Includes: Douglas Mankin, K.R.[Kyle R.] Douglas-Mankin, K.R.[Kyle R.]
Douglas, A.
* 1993: State-of-the-Art Mapping
* 1996: Cardiac Motion Simulator for Tagged MRI
* 2020: Eelgrass Mapping In Atlantic Canada Using Worldview-2 Imagery
Douglas, B.L.
* 1994: cascade algorithm for estimating and compensating motion error for synthetic aperture sonar imaging, A
Douglas, C.[Corrine]
* 2021: Using Aerial Photogrammetry to Assess Stock-Wide Marine Turtle Nesting Distribution, Abundance and Cumulative Exposure to Industrial Activity
Douglas, D.C.[David C.]
* 2021: Evaluation of Satellite Imagery for Monitoring Pacific Walruses at a Large Coastal Haulout
Douglas, D.H.
* 1973: Algorithms for the reduction of the number of points required to represent a digitized line or its caricature
* 1975: Detection of Surface-Specific Points by Local Parallel Processing of Discrete Terrain Elevation Data
Includes: Douglas, D.H. Douglas, D.H.[David H.]
Douglas, I.P.
* 2017: Virtual Tour Environment of Cuba's National School of Art
Douglas, J.L.[John L.]
* 1990: Computer-based video compression system
Douglas, M.
* 2017: Cultural Heritage Through Time: A Case Study At Hadrian's Wall, United Kingdom
* 2019: Airborne to UAS Lidar: An Analysis of UAS Lidar Ground Control Targets
Douglas, P.K.[Pamela K.]
* 2011: Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering
Douglas, S.
* 1996: Running Max/Min Calculation Using a Pruned Ordered List
* 1997: Layout and Language: Preliminary Investigations in Recognizing the Structure of Tables
* 2019: High-Performance Airborne Imaging Spectrometer HyPlant: From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain, The
* 2019: Ten Priority Science Gaps in Assessing Climate Data Record Quality
* 2020: Example of Monte Carlo Method Uncertainty Evaluation for Above-Water Ocean Colour Radiometry
Includes: Douglas, S. Douglas, S.[Sarah]
Douglas, S.C.
* 1994: Family of Normalized LMS Algorithms, A
Douglas, T.A.[Thomas A.]
* 2019: Characterizing Boreal Peatland Plant Composition and Species Diversity with Hyperspectral Remote Sensing
Douglas, T.S.[Tania S.]
* 2002: Photogrammetric Method for the Assessment of Facial Morphology in Fetal Alcohol Syndrome Screening, A
* 2009: Design, Construction, and Testing of a Stereo-Photogrammetric Tool for the Diagnosis of Fetal Alcohol Syndrome in Infants
Includes: Douglas, T.S.[Tania S.] Douglas, T.S.
Douglass, A.R.
* 2006: Overview of the EOS Aura Mission
Douglass, J.[Jeremy]
* 2011: Cultural Analytics in Large-Scale Visualization Environments
Douglass, J.W.[James W.]
* 2007: Automated detection of objects in a biological sample
Douglass, R.[Robert]
* 1977: Recognition Cone Perceptual System: Brief Test Results, A
* 1978: Recognition Cones, and Some Test Results; The Imminent Arrival of Well-Structured Parallel-Serial computers; Positions, and Positions on Positions
* 1979: Parallel-Serial Recognition Cone System for Perception: Some Test Results, A
Douglass, R.J.[Robert J.]
* 1977: Recognition and Depth Perception of Objects in Real World Scenes
* 1981: Interpreting 3-D Scenes: A Model-Building Approach