Hanca, J.[Jan]
* 2014: low-cost visual sensor network for elderly care, A
* 2015: Robust stereo matching using census cost, discontinuity-preserving disparity computation and view-consistent refinement
* 2016: Lightweight real-time error-resilient encoding of visual sensor data
Includes: Hanca, J.[Jan] Hanca, J.
Hancer, E.[Emrah]
* 2012: new approach to the reconstruction of contour lines extracted from topographic maps, A
Hanchane, M.[Mohamed]
* 2023: Analysis of Relationship between Grain Yield and NDVI from MODIS in the Fez-Meknes Region, Morocco
Hancher, M.D.[Mattew D.]
* 2009: bayesian formulation for sub-pixel refinement in stereo orbital imagery, A
Hancke, G.[Gerhard]
* 2023: Adaptive Illumination Mapping for Shadow Detection in Raw Images
* 2023: Referring Image Segmentation Using Text Supervision
Hancke, G.P.
* 2014: Development of a robust active infrared-based eye tracker
* 2019: Deformable Object Tracking With Gated Fusion
* 2021: Light Source Guided Single-Image Flare Removal from Unpaired Data
* 2022: Learning Object Context for Novel-view Scene Layout Generation
* 2023: Learning Image Harmonization in the Linear Color Space
Includes: Hancke, G.P. Hancke, G.P.[Gerhard P.] Hancke, G.P.[Gerhard Petrus]
Hanckmann, P.[Patrick]
* 2012: Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions
* 2014: Instantaneous threat detection based on a semantic representation of activities, zones and trajectories
Includes: Hanckmann, P.[Patrick] Hanckmann, P.
Hancock, C.[Craig]
* 2024: GNSS Carrier-Phase Multipath Modeling and Correction: A Review and Prospect of Data Processing Methods
Hancock, C.M.[Craig M.]
* 2019: Cycle Slip Detection during High Ionospheric Activities Based on Combined Triple-Frequency GNSS Signals
* 2022: Mitigating the Scintillation Effect on GNSS Signals Using MP and ROTI
* 2022: Validating Ionospheric Scintillation Indices Extracted from 30s-Sampling-Interval GNSS Geodetic Receivers with Long-Term Ground and In-Situ Observations in High-Latitude Regions
Hancock, E.[Edwin]
* 2021: Fast Subspace Clustering Based on the Kronecker Product
* 2022: Uncertainty Estimation for Stereo Matching Based on Evidential Deep Learning
Hancock, E.E.[Edwin E.]
* 2011: Special edition on semi-supervised learning for visual content analysis and understanding
Hancock, E.R.
* 1987: Contextual Decision Rule for Image Analysis
* 1989: Combining Evidence in Probabilistic Relaxation
* 1990: Discrete Relaxation
* 1990: Edge-Labeling Using Dictionary-Based Relaxation
* 1990: Label Error Process for Discrete Relaxation, A
* 1991: Adaptive Estimation of Hysteresis Thresholds
* 1991: Hierarchical Evidence Combining Edge Detection, A
* 1992: Multiresolution Edge Labelling Using Hierarchical Relaxation
* 1992: Relaxational Refinement of Intensity Ridges
* 1993: Bayesian Interpretation for the Hopfield Network, A
* 1993: Resolving Edge-Line Ambiguities Using Probabilistic Relaxation
* 1994: Bayesian framework for hierarchical relaxation, A
* 1994: Feature Tracking by Multiframe Relaxation
* 1994: Graph Matching by Configurational Relaxation
* 1994: Noise models for linear feature detection in SAR images
* 1994: Relational Matching by Discrete Relaxation
* 1995: Bayesian Approach to 3D Surface Fitting and Refinement, A
* 1995: Bayesian extraction of differential surface structure
* 1995: Feature Tracking by Multiframe Relaxation
* 1995: integrated approach to grouping and matching, An
* 1995: linear discriminator of width, A
* 1995: Matching Deformed Delaunay Triangulations
* 1995: Matching Delaunay Graphs
* 1995: Matching delaunay triangulations by probabilistic relaxation
* 1995: Relational Matching by Discrete Relaxation
* 1995: Relational matching with active graphs
* 1995: Relational Matching with Dynamic Graph Structures
* 1995: Relational Matching with Stochastic Optimisation
* 1995: Special Issue: British Machine Vision Conference 1994
* 1995: Statistical surface tracking
* 1996: Analysis of the Exponential Correlation Associative Memory, An
* 1996: Bayesian Compatibility Model for Graph Matching, A
* 1996: Cartographic Indexing into a Database of Remotely Sensed Images
* 1996: Cartographic Matching onto Millimetre Radar Images
* 1996: Gauging Relational Consistency and Correcting Structural Errors
* 1996: Genetic Search for Structural Matching
* 1996: Iterative Spline Relaxation with the EM Algorithm
* 1996: Registering Incomplete Radar Images Using the EM Algorithm
* 1996: Relational Matching With Mean Field Annealing
* 1996: Segmenting Modulated Line Textures with S-Gabor Filters
* 1996: Sensitivity Analysis For Structural Matching
* 1996: Surface Reconstruction with an EM-Like Relaxation Operator
* 1997: Genetic Algorithm Parameter Sets for Line Labeling
* 1997: Image registration with shape mixtures
* 1997: Inexact Graph Matching Using Genetic Search
* 1997: Iterative Curve Organization with the EM Algorithm
* 1997: Matching Delaunay Graphs
* 1997: Minimum-Variance Adaptive Surface Mesh, A
* 1997: Multi-sensor fusion with Bayesian inference
* 1997: Multiple Graph Matching with Bayesian-Inference
* 1997: Multiple Line-Template Matching with the EM Algorithm
* 1997: Needle map recovery using robust regularizers
* 1997: Perspective matching using the EM algorithm
* 1997: Refining surface curvature with relaxation labeling
* 1997: Registering Incomplete Radar Images Using the EM Algorithm
* 1997: Registering Multiple Cartographic Models with the Hierarchical Mixture of Expert Algorithms
* 1997: Scale-Space Vector Fields for Feature Analysis
* 1997: Structural Matching by Discrete Relaxation
* 1997: Structurally Gated Pairwise Geometric Histograms for Shape Indexing
* 1998: 3-D Planar Orientation from Texture: Estimating Vanishing Point from Local Spectral Analysis
* 1998: Appearance-Based Object Recognition Using Shape-From-Shading
* 1998: Bayesian Interpretation for the Exponential Correlation Associative Memory, A
* 1998: Bias-Variance Tradeoff for Adaptive Surface Meshes
* 1998: Corner Detection Using Vector Potential
* 1998: Corner Detection Via Topographic Analysis of Vector Potential
* 1998: Density Propagation for Surface Tracking
* 1998: Edge location with electrostatic region attractors
* 1998: Efficient Relational Matching with Local Edit Distance
* 1998: Estimating 3D Facial Pose Using the EM Algorithm
* 1998: Fuzzy Relational Distance for Large-scale Object Recognition
* 1998: Graph Matching with a Dual-Step EM Algorithm
* 1998: Holistic matching
* 1998: Increased Extent of Characteristic Views using Shape-from-shading for Object Recognition
* 1998: Learning Feature Characteristics
* 1998: Matching Blood Vessel Patterns with the Generalised EM Algorithm
* 1998: Recognizing Building Patterns Using Matched-Filters and Genetic Search
* 1998: Relational Histograms for Shape Indexing
* 1998: Structural Matching with Active Triangulations
* 1998: Symbolic graph matching with the EM algorithm
* 1998: Terrain Reconstruction with an Adaptive Surface Mesh
* 1999: 3D Surface Topography from Intensity Images
* 1999: Accumulating Spectral Evidence for Perspective Views of Texture Planes
* 1999: Bayesian Graph Edit Distance
* 1999: Consistent topographic surface labelling
* 1999: Corner Detection Via Topographic Analysis of Vector Potential
* 1999: Data-driven Shape-from-Shading using Curvature Consistency
* 1999: Deterministic search for relational graph matching
* 1999: Graph matching with hierarchical discrete relaxation
* 1999: Improved Orientation Estimation for Texture Planes Using Multiple Vanishing Points
* 1999: Improved Pose Estimation for Texture Planes using Multiple Vanishing Points
* 1999: Inexact Graph Retrieval
* 1999: Line Pattern Retrieval Using Relational Histograms
* 1999: Matching Point-sets using Procrustes Alignment and the EM Algorithm
* 1999: mixture model for pose clustering, A
* 1999: Modelling Needle-Map Consistency with Novel Constraints
* 1999: Needle map recovery using robust regularizers
* 1999: New Constraints on Data-Closeness and Needle Map Consistency for Shape-from-Shading
* 1999: Pose Clustering with Density Estimation and Structural Constraints
* 1999: Procrustes Alignment with the EM Algorithm
* 1999: radar reflectance model for terrain analysis using shape from shading, A
* 1999: Reflectance Model for Radar Shape From Shading, A
* 1999: Scale space vector fields for symmetry detection
* 1999: Sensitivity Analysis for Object Recognition from Large Structural Libraries
* 1999: Shape recognition from large image libraries by inexact graph matching
* 1999: Shape-from-shading using a curvature consistency constraint
* 1999: Structural Constraints for Pose Clustering
* 1999: Surface Topography Using Shape-from-Shading
* 2000: 3-D Terrain from Synthetic Aperture Radar Images
* 2000: Adapting Scale by Minimising Spectral Defocusing for Shape from Texture
* 2000: Adapting Spectral Scale for Shape from Texture
* 2000: Alignment and Correspondence Using Markov Chain Monte Carlo
* 2000: Bayesian Framework for Radar Shape-from-Shading, A
* 2000: Bayesian Graph Edit Distance
* 2000: Bias-Variance Analysis for Controlling Adaptive Surface Meshes
* 2000: Convergence of a hill-climbing genetic algorithm for graph matching
* 2000: Detecting Multiple Texture Planes using Local Spectral Distortion
* 2000: Eigendecomposition Method for Shape-from-texture, An
* 2000: Estimating the 3D orientation of texture planes using local spectral analysis
* 2000: Genetic algorithms for ambiguous labelling problems
* 2000: Grouping Line-segments using Eigenclustering
* 2000: Histogram-based Object Recognition using Shape-from-Shading
* 2000: Improved Orientation Estimation for Texture Planes Using Multiple Vanishing Points
* 2000: Improved Point Proximity Matrix for Modal Matching, An
* 2000: Least Commitment Graph Matching by Evolutionary Optimisation
* 2000: Optimising Pattern Recovery in Recurrent Correlation Associative Memories
* 2000: Perspective Pose from Spectral Voting
* 2000: Point Pattern Matching with Robust Spectral Correspondence
* 2000: Population Codes for Orientation Estimation
* 2000: Region-based Object Recognition using Shape-from-Shading
* 2000: Scale Adaptive Method for Focusing Spectral Peaks, A
* 2000: Storage Capacity of the Exponential Correlation Associative Memory
* 2000: Structural Object Recognition Using Shape-from-shading
* 2000: Symbolic Graph Matching Using the EM Algorithm and Singular Value Decomposition
* 2000: Terrain Feature Identification by Modeling Radar Image Statistics
* 2000: Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-shading
* 2000: Texture Plane Orientation from Spectral Accumulation
* 2000: View Synthesis from Needle-maps
* 2001: Augmenting Point Distribution Models with Relational Constraints
* 2001: Bayesian framework for 3D surface estimation, A
* 2001: Correspondence matching using Spectral Clusters
* 2001: Discovering Shape Categories by Clustering Shock Trees
* 2001: Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling
* 2001: EM-like Algorithm for Motion Segmentation via Eigendecomposition, An
* 2001: Expectation-Maximisation Framework for Perceptual Grouping, An
* 2001: Expectation-Maximisation Framework for Segmentation and Grouping, An
* 2001: Graph Matching using Adjacency Matrix Markov Chains
* 2001: Graph-Spectral Method for Surface Height Recovery from Needle-Maps, A
* 2001: hierarchical framework for modal correspondence matching, A
* 2001: Hierarchical Iterative Eigen Decomposition for Motion Segmentation
* 2001: Improved Shape-from-shading Using Darboux Smoothing
* 2001: Learning Shape Categories by Clustering Shock Trees
* 2001: Least-commitment graph matching with genetic algorithms
* 2001: Maximum Likelihood Framework for Grouping and Segmentation, A
* 2001: Maximum Likelihood Framework for Iterative Eigendecomposition, A
* 2001: Maximum likelihood motion segmentation using eigen-decomposition
* 2001: Object Recognition Using Shape-from-Shading
* 2001: Perceptual Grouping using Eigendecomposition and the EM Algorithm
* 2001: Probabilistic Framework for Graph Clustering, A
* 2001: Relational Constraints for Point Distribution Models
* 2001: robust eigen-decomposition framework for inexact graph-matching, A
* 2001: Separating Lambertian and Specular Reflectance Components using Iterated Conditional Modes
* 2001: Shape from Periodic Texture Using the Eigenvectors of Local Affine Distortion
* 2001: Shape-from-Shading Using Darboux Smoothing
* 2001: Skeletal Measure of 2D Shape Similarity, A
* 2001: Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition
* 2001: Surface Topography Using Shape-from-Shading
* 2001: Synthesising Appearance Manifolds using Shape-from-Shading
* 2001: Weighted Graph-Matching Using Modal Clusters
* 2002: Alignment using Spectral Clusters
* 2002: Arabic Character Recognition with Shape Mixtures
* 2002: Corner detection using a mixture model of edge orientation
* 2002: Detecting Multiple Texture Planes using Local Spectral Distortion
* 2002: Diffuse Reflectance Models for Rough Surfaces: A Geometrical Study for Shape-from-Shading
* 2002: Eigenspaces For Graphs
* 2002: Eigenvector method for texture recognition
* 2002: Estimating Facial Pose Using Shape-from-Shading
* 2002: Estimating the perspective pose of texture planes using spectral analysis on the unit sphere
* 2002: evidence combining approach to shape-from-shading, An
* 2002: Expectation-Maximisation Framework for Segmentation and Grouping, An
* 2002: Face Recognition Using Shape-from-Shading
* 2002: fast leading eigenvector approximation for segmentation and grouping, A
* 2002: Fast on-line learning of point distribution models
* 2002: Graph spectral approach for learning view structure
* 2002: graph-spectral approach to correspondence matching, A
* 2002: Graph-Spectral Approach to Shape-From-Shading, A
* 2002: graph-spectral approach to surface segmentation, A
* 2002: Hierarchical Framework for Spectral Correspondence, A
* 2002: Highlight Removal Using Shape-from-Shading
* 2002: independent and principal component of graph spectra, The
* 2002: Iterative Procrustes alignment with the EM algorithm
* 2002: Lambertian reflectance correction for rough and shiny surfaces
* 2002: Matching and Embedding through Edit-Union of Trees
* 2002: Model Acquisition Using Shape-from-Shading
* 2002: Object recognition by clustering spectral features
* 2002: Pairwise Clustering with Matrix Factorisation and the EM Algorithm
* 2002: Point-set alignment using multidimensional scaling
* 2002: probabilistic framework for specular shape-from-shading, A
* 2002: Probabilistic population coding of multiple edge orientation
* 2002: Recovering facial pose with the EM algorithm
* 2002: Recovering height information from SAR images of terrain
* 2002: Relational object recognition from large structural libraries
* 2002: Shape-from-Shading Using Viewpoint-Invariant Principal Curvatures
* 2002: Shape-space from tree-union
* 2002: Texture Recognition through Modal Analysis of Spectral Peak Patterns
* 2002: Texture Recognition through Modal Analysis of Spectral Peak Patterns
* 2003: Arabic Character Recognition Using Structural Shape Decomposition
* 2003: Coarse View Synthesis Using Shape-from-Shading
* 2003: Combining curvature evidence to shape-from-shading
* 2003: Computing approximate tree edit distance using relaxation labeling
* 2003: Correspondence matching with modal clusters
* 2003: Curvature Consistency for Shape-from-Shading
* 2003: Curvature correction of the Hamilton-Jacobi skeleton
* 2003: Curvature Dependent Skeletonization
* 2003: Curvature Dependent Skeletonization
* 2003: Darboux smoothing for shape-from-shading
* 2003: Eigenvector method for shape-from-shading, An
* 2003: Estimating surface characteristics using physical reflectance models
* 2003: Graph Clustering using Symmetric Polynomials and Local Linear Embedding
* 2003: Graph Clustering with Tree-Unions
* 2003: Guest editors' Introduction to the special section on energy minimization methods in computer vision and pattern recognition
* 2003: Improving shape recovery by estimating properties of slightly-rough surfaces
* 2003: Learning mixtures of point distribution models with the EM algorithm
* 2003: Learning modes of structural variation in graphs
* 2003: Pattern Spaces from Graph Polynomials
* 2003: probabilistic framework for specular shape-from-shading, A
* 2003: Rough Surface Analysis using Kirchhoff Theory
* 2003: Rough Surface Correction and Re-illumination Using the Modified Beckmann Model
* 2003: Rough Surface Estimation Using the Kirchhoff Model
* 2003: Spectral Approach to Learning Structural Variations in Graphs, A
* 2003: Spectral Clustering of Graphs
* 2003: Spectral correspondence for point pattern matching
* 2003: Spectral embedding of graphs
* 2003: Surface acquisition from single gray-scale images
* 2003: Terrain Analysis Using Radar Shape-from-Shading
* 2003: unified framework for alignment and correspondence, A
* 2004: Acquiring height maps of faces from a single image
* 2004: Articulated Shape Mixtures for Object Recognition
* 2004: Combining data-closeness and fourier domain integrability constraints in shape-from-shading
* 2004: Correction of underexposed images using scene radiance estimation
* 2004: Estimating the surface radiance function from single images
* 2004: Face recognition using shading-based curvature attributes
* 2004: Face Recognition with Generalized Entropy Measurements
* 2004: Facial View Synthesis from a Single Image Using Shape from Shading
* 2004: Fresnel Correction of the Beckmann Model
* 2004: Graph manifolds from spectral polynomials
* 2004: Graph Matching Using Manifold Embedding
* 2004: Graph matching using spectral embedding and alignment
* 2004: Graph Matching using Spectral Embedding and Semidefinite Programming
* 2004: Graph Pattern Spaces from Laplacian Spectral Polynomials
* 2004: Graph-Spectral Approach to Shape-From-Shading, A
* 2004: Grey scale image skeletonisation from noise-damped vector potential
* 2004: Guest editors' Introduction to the special section on energy minimization methods in computer vision and pattern recognition
* 2004: Hierarchical Framework for Shape Recognition Using Articulated Shape Mixtures, A
* 2004: Improving Height Recovery from a Single Image of a Face Using Local Shape Indicators
* 2004: Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length
* 2004: Levenshtein distance for graph spectral features
* 2004: Probabilistic Framework for Articulated Shape Recognition, A
* 2004: probabilistic spectral framework for grouping and segmentation, A
* 2004: Probablistic phase based sparse stereo
* 2004: Recovery of Surface Height from Diffuse Polarisation
* 2004: Reflectance correction for perspiring faces
* 2004: Shape from Diffuse Polarisation
* 2004: Single Image Facial View Synthesis Using SFS
* 2004: Skeletal Measure of 2D Shape Similarity, A
* 2004: Skin reflectance modelling for face recognition
* 2004: Spectral Simplification of Graphs
* 2004: Surface height recovery from surface normals using manifold embedding
* 2004: Surface height recovery using heat flow and manifold embedding
* 2004: Surface normals and height from non-lambertian image data
* 2004: Surface radiance: empirical data against model predictions
* 2004: Testing reflectance models against radiance data
* 2004: Underexposed Image Correction Via Approximation of the Scene Radiance Function
* 2004: Vector field smoothing via heat flow
* 2005: 3D Triangular Mesh Parametrization Using Locally Linear Embedding
* 2005: Adding Subsurface Attenuation to the Beckmann-Kirchhoff Theory
* 2005: Characterising Graphs using the Heat Kernel
* 2005: Clustering Shapes Using Heat Content Invariants
* 2005: Coined Quantum Walks Lift the Cospectrality of Graphs and Trees
* 2005: Commute Times for Graph Spectral Clustering
* 2005: Commute Times, Discrete Green's Functions and Graph Matching
* 2005: Comparing Variants of the Beckmann Model
* 2005: Comparison of Cartesian Coordinate-based Representations for Building Three-dimensional Models of Faces, A
* 2005: Coupled Statistical Face Reconstruction
* 2005: Eigenspaces from Seriated Graphs
* 2005: Estimating the Albedo Map of a Face from a Single Image
* 2005: Evolving Spanning Trees Using the Heat Equation
* 2005: Face Recognition Using a Surface Normal Model
* 2005: Fast Isometric Parametrization of 3D Triangular Mesh
* 2005: Fitting 3D Cartesian Models to Faces Using Irradiance and Integrability Constraints
* 2005: Geometric Characterisation of Graphs
* 2005: Graph Clustering Using Heat Content Invariants
* 2005: Graph Edit Distance from Spectral Seriation
* 2005: graph-spectral method for surface height recovery, A
* 2005: Image Segmentation using Commute times
* 2005: Improved Face Shape Recovery and Re-illumination Using Convexity Constraints
* 2005: Improving Correspondence Matching Using Label Consistency Constraints
* 2005: Incorporating Subsurface Attenuation into the Beckmann Model
* 2005: Kernel Spectral Correspondence Matching Using Label Consistency Constraints
* 2005: Locally Linear Isometric Parameterization
* 2005: Machine Learning with Seriated Graphs
* 2005: Model-Based Method for Face Shape Recovery, A
* 2005: Multi-View Surface Reconstruction Using Polarization
* 2005: Pattern Vectors from Algebraic Graph Theory
* 2005: Recovering Facial Shape and Albedo Using a Statistical Model of Surface Normal Direction
* 2005: Recovering Facial Shape Using A Statistical Surface Normal Model
* 2005: Recovery of Surface Height Using Polarization from Two Views
* 2005: Surface radiance correction for shape from shading
* 2005: Vector transport for shape-from-shading
* 2006: Acquiring Height Data from a Single Image of a Face Using Local Shape Indicators
* 2006: Approximating 3D Facial Shape from Photographs Using Coupled Statistical Models
* 2006: Combinatorial Surface Integration
* 2006: Correcting Curvature-Density Effects in the Hamilton-Jacobi Skeleton
* 2006: Correspondence matching using kernel principal components analysis and label consistency constraints
* 2006: Coupled Statistical Model for Face Shape Recovery, A
* 2006: Diffusion of Geometric Affinity for Surface Integration
* 2006: Edge Detection and Anisotropic Diffusion for Tensor-Valued Images
* 2006: Estimating Cast Shadows using SFS and Class-based Surface Completion
* 2006: Face Recognition using 2.5D Shape Information
* 2006: Face Recognition using Patch-based Spin Images
* 2006: Face Recognition with Region Division and Spin Images
* 2006: Facial Shadow Removal
* 2006: Facial Shape Estimation in the Presence of Cast Shadows
* 2006: Facial Statistical Model from Complex Numbers, A
* 2006: Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models
* 2006: Graph Embedding Using Commute Time
* 2006: Graph matching and clustering using spectral partitions
* 2006: Graph Matching using Commute Time Spanning Trees
* 2006: Graph Matching using Commute Time Spanning Trees
* 2006: Graph Matching using Interference of Coined Quantum Walks
* 2006: Graph Spectral Approach to Consistent Labelling, A
* 2006: Heat Kernel Smoothing of Scalar and Vector Image Data
* 2006: Learning Shape-Classes Using a Mixture of Tree-Unions
* 2006: Light Scattering Model for Layered Rough Surfaces, A
* 2006: Point Pattern Matching Via Spectral Geometry
* 2006: Polarization-based Surface Reconstruction via Patch Matching
* 2006: Probabilistic Relaxation using the Heat Equation
* 2006: Recovering Facial Shape Using a Statistical Model of Surface Normal Direction
* 2006: Recovery of Surface Orientation From Diffuse Polarization
* 2006: Recovery of Surface Orientation From Diffuse Polarization
* 2006: Reflectance from Surfaces with Layers of Variable Roughness
* 2006: Reflectance Modeling for Layered Dielectrics with Rough Surface Boundaries
* 2006: Riemannian Weighted Filter for Edge-sensitive Image Smoothing, A
* 2006: Robust Multi-body Motion Tracking Using Commute Time Clustering
* 2006: Simple Coupled Statistical Model for 3D Face Shape Recovery, A
* 2006: Smoothing Tensor-Valued Images Using Anisotropic Geodesic Diffusion
* 2006: Spanning Trees from the Commute Times of Random Walks on Graphs
* 2006: Spectral Approach to Learning Structural Variations in Graphs, A
* 2006: Spectral Generative Model for Graph Structure, A
* 2006: String Kernels for Matching Seriated Graphs
* 2006: Tensor MRI Regularization via Graph Diffusion
* 2006: Testing new variants of the Beckmann-Kirchhoff model against radiance data
* 2006: Trace Formula Analysis of Graphs
* 2006: Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework
* 2007: Clustering and Embedding Using Commute Times
* 2007: Correspondence Measure for Graph Matching Using the Discrete Quantum Walk, A
* 2007: Coupled Statistical Model for Face Shape Recovery From Brightness Images, A
* 2007: Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering
* 2007: Estimating Reflectance Functions Using a Cyberware 3030 Scanner
* 2007: Face Recognition Using Principal Geodesic Analysis and Manifold Learning
* 2007: Face Recognition with Irregular Region Spin Images
* 2007: Face Shape Recovery and Recognition Using a Surface Gradient Based Statistical Model
* 2007: Gender Classification using Shape from Shading
* 2007: Graph Embedding Using Quantum Commute Times
* 2007: Graph embedding using tree edit-union
* 2007: Graph Similarity Using Interfering Quantum Walks
* 2007: Graph simplification and matching using commute times
* 2007: Graph Spectral Image Smoothing
* 2007: Kernelised Relaxation Labelling using Fokker-Planck Diffusion
* 2007: Learning Mixture Models for Gender Classification Based on Facial Surface Normals
* 2007: modified Beckmann-Kirchhoff scattering theory for rough surface analysis, The
* 2007: New Framework for Grayscale and Colour Non-lambertian Shape-from-Shading, A
* 2007: Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling
* 2007: Probabilistic Relaxation Labeling by Fokker-Planck Diffusion on a Graph
* 2007: Regression tracking with data relevance determination
* 2007: Riemannian approach to graph embedding, A
* 2007: Robust Estimation of Reflectance Functions from Polarization
* 2007: Shape Estimation Using Polarization and Shading from Two Views
* 2007: Shape-From-Shading Using the Heat Equation
* 2007: Spectral Modes of Facial Needle-Maps
* 2007: statistical approach to sparse multi-scale phase-based stereo, A
* 2007: Surface Integration: Two Statistical Approaches
* 2007: Surface Reconstruction Using Polarization and Photometric Stereo
* 2007: Template Tracking with Observation Relevance Determination
* 2007: Testing Viewpoint Invariance in the Neural Representation of Faces: An MEG Study
* 2007: Weighted Principal Geodesic Analysis for Facial Gender Classification
* 2008: 3D Object Recognition Using Hyper-Graphs and Ranked Local Invariant Features
* 2008: Birkhoff polytopes, heat kernels and graph complexity
* 2008: Clustering Using Class Specific Hyper Graphs
* 2008: Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis
* 2008: Facial Shape Spaces from Surface Normals
* 2008: Facial Shape-from-shading and Recognition Using Principal Geodesic Analysis and Robust Statistics
* 2008: Gender classification based on facial surface normals
* 2008: Graph Characteristic from the Gauss-Bonnet Theorem
* 2008: Graph Characteristics from the Ihara Zeta Function
* 2008: Graph drawing using quantum commute time
* 2008: Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks
* 2008: Graph spectral image smoothing using the heat kernel
* 2008: Light Scattering Model for Layered Dielectrics with Rough Surface Boundaries, A
* 2008: Measuring Graph Similarity Using Spectral Geometry
* 2008: Measuring skin reflectance parameters
* 2008: Object recognition using graph spectral invariants
* 2008: Pattern vectors from the Ihara zeta function
* 2008: Polytopal Graph Complexity, Matrix Permanents, and Embedding
* 2008: Probabilistic relaxation labelling using the Fokker-Planck equation
* 2008: Quantitative Evaluation on Heat Kernel Permutation Invariants
* 2008: Quasi-isometric parameterization for texture mapping
* 2008: Ranking the local invariant features for the robust visual saliencies
* 2008: Recognising Facial Expressions Using Spherical Harmonics
* 2008: Recovering face shape and reflectance properties from single images
* 2008: Spectral Embedding of Feature Hypergraphs
* 2008: Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification
* 2008: Two-dimensional BRDF estimation from polarisation
* 2009: Characteristic Polynomial Analysis on Matrix Representations of Graphs
* 2009: Characterizing Graphs Using Spherical Triangles
* 2009: Coined Quantum Walks Lift the Cospectrality of Graphs and Trees
* 2009: Extracting gender discriminating features from facial needle-maps
* 2009: Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering
* 2009: generative model for graph matching and embedding, A
* 2009: Graph characteristics from the heat kernel trace
* 2009: Graph matching using the interference of continuous-time quantum walks
* 2009: Graph matching using the interference of discrete-time quantum walks
* 2009: Graph matching using the interference of discrete-time quantum walks
* 2009: Graph Regularisation Using Gaussian Curvature
* 2009: Graph-Based Object Class Discovery
* 2009: Hypergraphs, Characteristic Polynomials and the Ihara Zeta Function
* 2009: Incrementally Discovering Object Classes Using Similarity Propagation and Graph Clustering
* 2009: Learning Class Specific Graph Prototypes
* 2009: Pairwise Similarity Propagation Based Graph Clustering for Scalable Object Indexing and Retrieval
* 2009: Reconstructing 3D Facial Shape Using Spherical Harmonics
* 2009: Riemannian Self-Organizing Map, A
* 2009: Semi-supervised Feature Selection for Gender Classification
* 2009: Specular and diffuse reflectance in microfacet models
* 2009: unified model of spectacular and diffuse reflectance for rough, glossy surfaces, A
* 2009: Weighted graph characteristics from oriented line graph polynomials
* 2010: Associating Minutiae between Distorted Fingerprints Using Minimal Spanning Tree
* 2010: Characterising Facial Gender Difference Using Fisher-Rao Metric
* 2010: Coupled Prediction Classification for Robust Visual Tracking
* 2010: Detection of skin lesions using diffuse polarisation
* 2010: Distinguishing facial expression using the Fisher-Rao metric
* 2010: Estimating Facial Reflectance Properties Using Shape-from-Shading
* 2010: Facial Gender Classification Using Shape-from-Shading
* 2010: Geometric characterization and clustering of graphs using heat kernel embeddings
* 2010: Heat Flow-Thermodynamic Depth Complexity in Networks
* 2010: Mining Exemplars for Object Modelling Using Affinity Propagation
* 2010: New Riemannian techniques for directional and tensorial image data
* 2010: Recovering 3D Shape Using an Improved Fast Marching Method
* 2010: Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding
* 2010: Robust Computation of the Polarisation Image
* 2010: Robust Shape from Polarisation and Shading
* 2010: Shape and refractive index recovery from single-view polarisation images
* 2010: Spherical embeddings for non-Euclidean dissimilarities
* 2010: Supergraph-based Generative Model, A
* 2010: Using the Fisher-Rao Metric to Compute Facial Similarity
* 2011: Characterizing Graphs Using Approximate von Neumann Entropy
* 2011: Determining the Cause of Negative Dissimilarity Eigenvalues
* 2011: Entropy versus Heterogeneity for Graphs
* 2011: Facial Expression Recognition Using Nonrigid Motion Parameters and Shape-from-Shading
* 2011: Feature Selection for Gender Classification
* 2011: From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation
* 2011: Fusion of Multiple Candidate Orientations in Fingerprints
* 2011: Gender discriminating models from facial surface normals
* 2011: Graph Clustering Using the Jensen-Shannon Kernel
* 2011: Graph matching through entropic manifold alignment
* 2011: Graph-Based Approach to Feature Selection, A
* 2011: High Order Structural Matching Using Dominant Cluster Analysis
* 2011: Hypergraph-Based Approach to Feature Selection, A
* 2011: Improved Content-Based Watermarking Using Scale-Invariant Feature Points
* 2011: information theoretic approach to gender feature selection, An
* 2011: Information theoretic methods for learning generative models for relational structures
* 2011: Kernelising the Ihara Zeta Function
* 2011: Learning Generative Graph Prototypes Using Simplified von Neumann Entropy
* 2011: Natural Material Segmentation and Classification Using Polarisation
* 2011: polynomial characterization of hypergraphs using the Ihara zeta function, A
* 2011: Rectifying Non-euclidean Similarity Data through Tangent Space Reprojection
* 2011: Reflection Component Separation Using Statistical Analysis and Polarisation
* 2011: Refractive Index Estimation of Naturally Occurring Surfaces Using Photometric Stereo
* 2011: Refractive index estimation using photometric stereo
* 2011: Refractive Index Estimation Using Polarisation and Photometric Stereo
* 2011: Robust Shape and Polarisation Estimation Using Blind Source Separation
* 2011: Special issue on Graph-Based Representations in Computer Vision
* 2011: Supervised relevance maps for increasing the distinctiveness of facial images
* 2011: Tensor-based total Bregman divergences between graphs
* 2012: 3D Shape Classification Using Commute Time
* 2012: Approximate Axial Symmetries from Continuous Time Quantum Walks
* 2012: comprehensive polarisation model for surface orientation recovery, A
* 2012: Estimating Surface Characteristics and Extracting Features from Polarisation
* 2012: Face recognition using semi-supervised spectral feature selection
* 2012: Graph characterizations from von Neumann entropy
* 2012: Graph clustering using graph entropy complexity traces
* 2012: Graph Complexity from the Jensen-Shannon Divergence
* 2012: Heat Flow-Thermodynamic Depth Complexity in Directed Networks
* 2012: Hypergraph based information-theoretic feature selection
* 2012: Hypergraph based semi-supervised learning for gender classification
* 2012: Hypergraph matching based on Marginalized Constrained Compatibility
* 2012: Hypergraph Spectra for Unsupervised Feature Selection
* 2012: Information Theoretic Prototype Selection for Unattributed Graphs
* 2012: Jensen-Shannon graph kernel using information functionals
* 2012: Jensen-Shannon Kernel for Hypergraphs, A
* 2012: Localized Graph-Based Feature Selection for Clustering
* 2012: Pattern analysis with graphs: Parallel work at Bern and York
* 2012: Sampling graphs from a probabilistic generative model
* 2012: Shape Analysis Using the Edge-Based Laplacian
* 2012: Simultaneous reflectance estimation and surface shape recovery using polarisation
* 2012: Statistical Operator for Detecting Weak Edges in Low Contrast Images, A
* 2012: Unsupervised Clustering of Human Pose Using Spectral Embedding
* 2012: Unsupervised Feature Selection Via Hypergraph Embedding
* 2012: Unsupervised spectral feature selection for face recognition
* 2013: Advances in pattern recognition methodology and applications
* 2013: Complexity Fusion for Indexing Reeb Digraphs
* 2013: Eigenvector Sign Correction for Spectral Correspondence Matching
* 2013: Estimating Complex Refractive Index Using Ellipsometry
* 2013: Fast Jensen-Shannon Subgraph Kernel, A
* 2013: Graph Embedding Method Using the Jensen-Shannon Divergence, A
* 2013: Graph Kernels from the Jensen-Shannon Divergence
* 2013: Heterogeneity Index for Directed Graphs
* 2013: Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel
* 2013: Robust estimation of shape and polarisation using blind source separation
* 2013: Shape and Refractive Index from Single-View Spectro-Polarimetric Images
* 2014: Attributed Graph Kernel from the Jensen-Shannon Divergence, An
* 2014: Commute Time for a Gaussian Wave Packet on a Graph
* 2014: Curvature Estimation for Ricci Flow Embedding
* 2014: Depth-based complexity traces of graphs
* 2014: Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs
* 2014: Entropic Graph Embedding via Multivariate Degree Distributions
* 2014: Graph Characterization from Entropy Component Analysis
* 2014: Graph Characterization Using Wave Kernel Trace
* 2014: Graph Kernel from the Depth-Based Representation, A
* 2014: Hypergraph Kernel from Isomorphism Tests, A
* 2014: Mutual Information between Graphs, The
* 2014: Node Centrality for Continuous-Time Quantum Walks
* 2014: Obstacle detection by means of stereo feature matching
* 2014: Quantum vs. Classical Ranking in Segment Grouping
* 2014: Ricci flow embedding for rectifying non-Euclidean dissimilarity data
* 2014: Seamless texture stitching on a 3D mesh by poisson blending in patches
* 2014: Spherical and Hyperbolic Embeddings of Data
* 2014: Transitive State Alignment for the Quantum Jensen-Shannon Kernel
* 2015: Adaptive Graph Learning for Unsupervised Feature Selection
* 2015: Coined Quantum Walks Lift the Cospectrality of Graphs and Trees
* 2015: Coupled-Feature Hypergraph Representation for Feature Selection
* 2015: Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs, An
* 2015: Edge-Based Matching Kernel Through Discrete-Time Quantum Walks, An
* 2015: Editorial, Introduction
* 2015: Entropic Edge Assortativity Measure, An
* 2015: Example-Based Modeling of Facial Texture from Deficient Data
* 2015: Generative Graph Prototypes from Information Theory
* 2015: High-Order Depth-Based Graph Matching Method, A
* 2015: quantum Jensen-Shannon graph kernel for unattributed graphs, A
* 2015: Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks, A
* 2015: Skeletal Graphs from Schrödinger Magnitude and Phase
* 2015: Thermodynamics of Time Evolving Networks
* 2015: Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold learning
* 2015: Unsupervised Feature Selection by Graph Optimization
* 2016: Absorptive scattering model for rough laminar surfaces
* 2016: Analyzing graph time series using a generative model
* 2016: Commute Times in Dense Graphs
* 2016: Correlation Network Evolution Using Mean Reversion Autoregression
* 2016: Depth-based hypergraph complexity traces from directed line graphs
* 2016: Dirichlet Graph Densifiers
* 2016: Edge-Based Matching Kernel on Commute-Time Spanning Trees, An
* 2016: Face image super-resolution via weighted patches regression
* 2016: Fast depth-based subgraph kernels for unattributed graphs
* 2016: fMRI Activation Network Analysis Using Bose-Einstein Entropy
* 2016: Graph Entropy from Closed Walk and Cycle Functionals
* 2016: Jensen-Shannon Divergence Kernel for Directed Graphs, A
* 2016: Network entropy analysis using the Maxwell-Boltzmann partition function
* 2016: novel entropy-based graph signature from the average mixing matrix, A
* 2016: P2P Lending Analysis Using the Most Relevant Graph-Based Features
* 2016: Quantum thermodynamics of time evolving networks
* 2016: Reflectance-aware optical flow
* 2016: Shape classification with a vertex clustering graph kernel
* 2016: Thermodynamic Characterization of Temporal Networks
* 2016: Thermodynamic Network Analysis with Quantum Spin Statistics
* 2016: transitive aligned Weisfeiler-Lehman subtree kernel, A
* 2017: Adaptive Feature Selection Based on the Most Informative Graph-Based Features
* 2017: Bragg Diffraction Patterns as Graph Characteristics
* 2017: Deep Face Model Compression Using Entropy-Based Filter Selection
* 2017: Detecting Alzheimer's Disease Using Directed Graphs
* 2017: Euler-Lagrange Network Dynamics
* 2017: Graph Similarity through Entropic Manifold Alignment
* 2017: High-order covariate interacted Lasso for feature selection
* 2017: Joint hypergraph learning and sparse regression for feature selection
* 2017: Linear Differential Constraints for Photo-Polarimetric Height Estimation
* 2017: Minimising Entropy Changes in Dynamic Network Evolution
* 2017: mutual information between graphs, The
* 2017: Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework, A
* 2017: Network Edge Entropy from Maxwell-Boltzmann Statistics
* 2017: Quantum kernels for unattributed graphs using discrete-time quantum walks
* 2017: Shape Simplification Through Graph Sparsification
* 2018: Adaptive hash retrieval with kernel based similarity
* 2018: Deep Hybrid Graph Kernel Through Deep Learning Networks, A
* 2018: Deep Supervised Hashing with Information Loss
* 2018: Depth-based Subgraph Convolutional Neural Networks
* 2018: Directed Graph Evolution from Euler-Lagrange Dynamics
* 2018: Directed Network Analysis Using Transfer Entropy Component Analysis
* 2018: Dirichlet Densifiers: Beyond Constraining the Spectral Gap
* 2018: Editorial: Special Issue on Machine Vision
* 2018: Graph Time Series Analysis Using Transfer Entropy
* 2018: Iterative Deep Subspace Clustering
* 2018: Local Binary Patterns for Graph Characterization
* 2018: Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs, A
* 2018: net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking
* 2018: Plenoptic Imaging for Seeing Through Turbulence
* 2018: Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels, A
* 2018: Quantum Edge Entropy for Alzheimer's Disease Analysis
* 2018: Recovering variations in facial albedo from low resolution images
* 2018: Semi-supervised Graph Rewiring with the Dirichlet Principle
* 2018: Unified Neighbor Reconstruction Method for Embeddings, A
* 2018: Vertex-level three-dimensional shape deformability measurement based on line segment advection
* 2019: Deep supervised hashing using symmetric relative entropy
* 2019: Depth-based subgraph convolutional auto-encoder for network representation learning
* 2019: Dirichlet densifier bounds: Densifying beyond the spectral gap constraint
* 2019: Dirichlet densifiers for improved commute times estimation
* 2019: Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network
* 2019: Polar Transformation on Image Features for Orientation-Invariant Representations
* 2019: Quantum-based subgraph convolutional neural networks
* 2019: Single image super resolution via neighbor reconstruction
* 2019: Structural network inference from time-series data using a generative model and transfer entropy
* 2020: Directed and undirected network evolution from Euler-Lagrange dynamics
* 2020: Learning binary code for fast nearest subspace search
* 2020: Local-global nested graph kernels using nested complexity traces
* 2020: Special issue on recent advances in statistical, structural and syntactic pattern recognition
* 2020: Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks
* 2021: Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
* 2021: fMRI Brain Networks as Statistical Mechanical Ensembles
* 2021: Fused lasso for feature selection using structural information
* 2021: HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects
* 2021: Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection
* 2021: Multimodal fusion for indoor sound source localization
* 2021: Network embedding from the line graph: Random walkers and boosted classification
* 2021: Statistical mechanical analysis for unweighted and weighted stock market networks
* 2021: Thermal Characterisation of Unweighted and Weighted Networks
* 2021: Thermodynamic motif analysis for directed stock market networks
* 2022: Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone
* 2022: Inferring Edges from Weights in the Debye Model
* 2022: Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification
* 2022: Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective
* 2022: Uncalibrated, Two Source Photo-Polarimetric Stereo
* 2022: Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification
* 2023: Attribute subspaces for zero-shot learning
* 2023: Position-aware and structure embedding networks for deep graph matching
* 2023: Regionwise Generative Adversarial Image Inpainting for Large Missing Areas
* 2024: QBER: Quantum-based Entropic Representations for un-attributed graphs
Includes: Hancock, E.R. Hancock, E.R.[Edwin R.] Hancock, E.R.[Edwin. R.] Hancock, E.R.[Edwin Robert]
642 for Hancock, E.R.
Hancock, G.R.[Gregory R.]
* 2023: Spatial Data-Driven Approach for Mineral Prospectivity Mapping, A
Hancock, J.
* 1999: Laser Intensity-Based Obstacle Detection and Tracking
Hancock, J.A.
* 1994: ELVIS: Eigenvectors for Land Vehicle Image System
Hancock, J.R.[Joshua R.]
* 2024: Variability in Symbiont Chlorophyll of Hawaiian Corals from Field and Airborne Spectroscopy
Hancock, K.L.
* 2004: Enterprise-wide freight simulation in an integrated logistics and transportation system
Hancock, M.H.
* 2020: Using Spectral Indices to Estimate Water Content and GPP in Sphagnum Moss and Other Peatland Vegetation
* 2023: Potential for Peatland Water Table Depth Monitoring Using Sentinel-1 SAR Backscatter: Case Study of Forsinard Flows, Scotland, UK
Includes: Hancock, M.H. Hancock, M.H.[Mark H.]
Hancock, P.
* 2018: Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild
Hancock, P.A.
* 2007: Effects of Augmented Reality Display Settings on Human Wayfinding Performance
* 2016: Effect of Agent Reasoning Transparency on Automation Bias: An Analysis of Response Performance, The
* 2018: Calibrating Adaptable Automation to Individuals
Hancock, P.J.B.[Peter J.B.]
* 1998: Comparisons between Human and Computer Recognition of Faces
* 2006: Adding Holistic Dimensions to a Facial Composite System
* 2013: Applications of Face Analysis and Modeling in Media Production
Includes: Hancock, P.J.B.[Peter J.B.] Hancock, P.J.B.
Hancock, S.[Steven]
* 2008: Exploring the Measurement Of Forests With Full Waveform LIDAR through Monte-Carlo Ray Tracing
* 2009: Quantifying Surface Reflectivity for Spaceborne Lidar via Two Independent Methods
* 2017: Angular Reflectance of Leaves With a Dual-Wavelength Terrestrial Lidar and Its Implications for Leaf-Bark Separation and Leaf Moisture Estimation
* 2020: Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation
* 2020: Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study
* 2022: Assessing Novel Lidar Modalities for Maximizing Coverage of a Spaceborne System through the Use of Diode Lasers
* 2022: Radiometric Assessment of ICESat-2 over Vegetated Surfaces
Includes: Hancock, S.[Steven] Hancock, S.
7 for Hancock, S.
Hancock, T.R.[Thomas R.]
* 1999: Omnidirectional visual image detector and processor
* 2001: Omnidirectional visual image detector and processor
Hancox, G.
* 2013: Drivers' willingness to engage with their mobile phone: The influence of phone function and road demand
* 2017: Quantifying the effectiveness of ITS in improving safety of VRUs
Includes: Hancox, G. Hancox, G.[Graham]
Hancox, J.[Jules]
* 2019: Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation
Hancox, J.C.
* 2013: Application of Micro-Computed Tomography With Iodine Staining to Cardiac Imaging, Segmentation, and Computational Model Development
Hancu, I.
* 2015: Theoretical Investigation of Random Noise-Limited Signal-to-Noise Ratio in MR-Based Electrical Properties Tomography
* 2015: Tissue Electrical Property Mapping From Zero Echo-Time Magnetic Resonance Imaging
Hanczar, B.[Blaise]
* 2012: Ensemble methods for biclustering tasks
* 2013: reliability of estimated confidence intervals for classification error rates when only a single sample is available, The
* 2019: Performance visualization spaces for classification with rejection option
* 2021: CASCARO: Cascade of classifiers for minimizing the cost of prediction