Index for riema

_riemann_
Brain Surface Conformal Parameterization Using riemann Surface Structure
Circular Arcs Fitted on a riemann Sphere
Circular Arcs Fitted on a riemann Sphere: Reply
Circular Arcs Fitted on a riemann Sphere: Reply
Color Reproduction Using riemann Normal Coordinates
Diffeomorphic Image Registration Model with Fractional-Order Regularization and Cauchy-riemann Constraint, A
Isotropic riemann Solver for a Nonconformal Discontinuous Galerkin Pseudospectral Time-Domain Algorithm
Manifold Learning, From Euclid to riemann
riemann-Langevin Particle Filtering in Track-Before-Detect
Surface Parameterization Using riemann Surface Structure
Visualisation of complex functions on riemann sphere
11 for riemann

_riemannian_
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on riemannian Manifold
3D Skeletal Gesture Recognition via Discriminative Coding on Time-Warping Invariant riemannian Trajectories
3D Skeletal Gesture Recognition via Sparse Coding of Time-Warping Invariant riemannian Trajectories
Active contour evolved by joint probability classification on riemannian manifold
Amplitude-Phase Information Measurement on riemannian Manifold for Motor Imagery-Based BCI
Analysis of Different Deep Learning Architectures to Learn Generalised Classifier Stacking on riemannian and Grassmann Manifolds
Association Fields via Cuspless Sub-riemannian Geodesics in SE(2)
Attributed hypergraph matching on a riemannian manifold
BaRe-ESA: A riemannian Framework for Unregistered Human Body Shapes
Bayesian online learning on riemannian manifolds using a dual model with applications to video object tracking
Belief propagation on riemannian manifold for stereo matching
Beyond Gauss: Image-Set Matching on the riemannian Manifold of PDFs
Blurring-invariant riemannian metrics for comparing signals and images
Boosted human re-identification using riemannian manifolds
Brain Connectivity Mapping Using riemannian Geometry, Control Theory, and PDEs
Camera Pose Filtering with Local Regression Geodesics on the riemannian Manifold of Dual Quaternions
Canonical Correlation Analysis on riemannian Manifolds and Its Applications
Characterizing Humans on riemannian Manifolds
Classification approach based on the product of riemannian manifolds from Gaussian parametrization space
Classification of symmetric positive definite matrices based on bilinear isometric riemannian embedding
Classification via semi-riemannian spaces
Closing Curves with riemannian Dilation: Application to Segmentation in Automated Cervical Cancer Screening
Clustering and dimensionality reduction on riemannian manifolds
Clustering Symmetric Positive Definite Matrices on the riemannian Manifolds
Color Image Compression by riemannian B-Tree Triangular Coding
Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging Based on a riemannian Manifold Approach
Comparison of Stacking-based Classifier Ensembles using Euclidean and riemannian Geometries
Computing Histogram of Tensor Images Using Orthogonal Series Density Estimation and riemannian Metrics
Convexification Numerical Method for a Coefficient Inverse Problem for the riemannian Radiative Transfer Equation
Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant riemannian Metrics
Cross Euclidean-to-riemannian Metric Learning with Application to Face Recognition from Video
Curvature-Aware Regularization on riemannian Submanifolds
Data-Driven Sub-riemannian Geodesics in SE(2)
Density Estimators of Gaussian Type on Closed riemannian Manifolds
Diffeomorphic Metric Mapping of High Angular Resolution Diffusion Imaging Based on riemannian Structure of Orientation Distribution Functions
Differentiable Piecewise-Bezier Surfaces on riemannian Manifolds
Discriminant Analysis on riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets
discriminative SPD feature learning approach on riemannian manifolds for EEG classification, A
Discriminative subspace learning via optimization on riemannian manifold
Distance Approximating Dimension Reduction of riemannian Manifolds
Distance based kernels for video tensors on product of riemannian matrix manifolds
DreamNet: A Deep riemannian Manifold Network for SPD Matrix Learning
Efficient clustering on riemannian manifolds: A kernelised random projection approach
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a riemannian Manifold
Elastic Functional Coding of riemannian Trajectories
Elastic riemannian frameworks and statistical tools for shape analysis
Enhanced Matrix CFAR Detection With Dimensionality Reduction of riemannian Manifold
Extension of Mathematical Morphology in riemannian Spaces
Face recognition on large-scale video in the wild with hybrid Euclidean-and-riemannian metric learning
Face Recognition via AAM and Multi-features Fusion on riemannian Manifolds
Face video retrieval with image query via hashing across Euclidean space and riemannian manifold
Fast Invariant riemannian DT-MRI Regularization
Fast Manifold Learning Based on riemannian Normal Coordinates
Faster First-Order Methods for Stochastic Non-Convex Optimization on riemannian Manifolds
Fitting Curves on riemannian Manifolds Using Energy Minimization
Foreground Segmentation via Background Modeling on riemannian Manifolds
Full-Reference Stability Assessment of Digital Video Stabilization Based on riemannian Metric
Gait based recognition via fusing information from Euclidean and riemannian manifolds
Generalized Lyapunov Feature for Dynamical Systems on riemannian Manifolds, A
Geodesic Convolutional Neural Networks on riemannian Manifolds
Geodesic Regression and the Theory of Least Squares on riemannian Manifolds
GeomNet: A Neural Network Based on riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition
Gradient Descent Ascent for Minimax Problems on riemannian Manifolds
Gradient Flows on a riemannian Submanifold for Discrete Tomography
Graph attribute embedding via riemannian submersion learning
Graph cuts using a riemannian metric induced by tensor voting
Gromov-Wasserstein Averaging in a riemannian Framework
Human Action Recognition under Log-Euclidean riemannian Metric
Human Detection via Classification on riemannian Manifolds
Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on riemannian manifolds with applications to assisted living
Human fall detection via shape analysis on riemannian manifolds with applications to elderly care
Hybrid Euclidean-and-riemannian Metric Learning for Image Set Classification
Hypersurface Fitting via Jacobian Nonlinear PCA on riemannian Space
Improved riemannian Metric Approximation for Graph Cuts, An
Improved Variance Reduction Methods for riemannian Non-Convex Optimization
Inexact Semismooth Newton Method on riemannian Manifolds with Application to Duality-Based Total Variation Denoising, An
Intrinsic MANOVA for riemannian Manifolds with an Application to Kendall's Space of Planar Shapes
Intrinsic Polynomials for Regression on riemannian Manifolds
Intrinsic Statistics on riemannian Manifolds: Basic Tools for Geometric Measurements
Isometric Non-Rigid Shape-from-Motion with riemannian Geometry Solved in Linear Time
Iwasawa Decomposition and Computational riemannian Geometry
Joint Design of Transmitting Waveform and Receiving Filter via Novel riemannian Idea for DFRC System
K-tangent spaces on riemannian manifolds for improved pedestrian detection
Kernel analysis over riemannian manifolds for visual recognition of actions, pedestrians and textures
Kernel Density Estimation on riemannian Manifolds: Asymptotic Results
Kernel Methods on riemannian Manifolds with Gaussian RBF Kernels
Kernel Methods on the riemannian Manifold of Symmetric Positive Definite Matrices
Keynote lecture 2: riemannian manifolds, kernels and learning
Landmark manifold: Revisiting the riemannian manifold approach for facial emotion recognition
Learning Euclidean-to-riemannian Metric for Point-to-Set Classification
Learning Invariant riemannian Geometric Representations Using Deep Nets
Learning to Optimize on riemannian Manifolds
Learning Weighted Submanifolds With Variational Autoencoders and riemannian Variational Autoencoders
Left-Invariant riemannian Geodesics on Spatial Transformation Groups
Linear Multiscale Analysis of Similarities between Images on riemannian Manifolds: Practical Formula and Affine Covariant Metrics
Low-Rank riemannian Optimization for Graph-Based Clustering Applications
map estimation algorithm for Bayesian polynomial regression on riemannian manifolds, A
Mathematical Morphology for Real-Valued Images on riemannian Manifolds
Monocular 6-DoF Pose Estimation for Non-cooperative Spacecrafts Using riemannian Regression Network
More about VLAD: A leap from Euclidean to riemannian manifolds
Multi-class Classification on riemannian Manifolds for Video Surveillance
Multi-Frequency Polarimetric SAR Classification Based on riemannian Manifold and Simultaneous Sparse Representation
Multi-kernel sparse subspace clustering on the riemannian manifold of symmetric positive definite matrices
Multi-target tracking by discriminative analysis on riemannian manifold
Multi-Target Tracking on riemannian Manifolds via Probabilistic Data Association
Multiple-shot human re-identification by Mean riemannian Covariance Grid
Multiple-Shot Person Re-identification via riemannian Discriminative Learning
Multiscale Analysis for Images on riemannian Manifolds
Multivariate General Linear Models (MGLM) on riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images
Multivariate Tensor-Based Morphometry with a Right-Invariant riemannian Distance on GL+(n)
new retraction for accelerating the riemannian three-factor low-rank matrix completion algorithm, A
New riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation, A
New riemannian techniques for directional and tensorial image data
Newton type algorithm on riemannian manifolds applied to robot vision, and suggestions for improvement of its performance
Nilpotent Approximations of Sub-riemannian Distances for Fast Perceptual Grouping of Blood Vessels in 2D and 3D
Nonlinear Mean Shift over riemannian Manifolds
Nonlinear Ranking Loss on riemannian Potato Embedding
Nonparametric Regression Between General riemannian Manifolds
nonparametric riemannian framework for processing high angular resolution diffusion images (HARDI), A
nonparametric riemannian framework on tensor field with application to foreground segmentation, A
Novel Algorithm for Computing riemannian Geodesic Distance in Rectangular 2d Grids, A
Novel Representation for riemannian Analysis of Elastic Curves in Rn, A
novel riemannian framework for shape analysis of 3D objects, A
Novel riemannian Framework for Shape Analysis of Annotated Surfaces, A
Numerical Integration of riemannian Gradient Flows for Image Labeling
On the Curve Reconstruction in riemannian Manifolds
Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on riemannian manifolds
Optical Flow and Advection on 2-riemannian Manifolds: A Common Framework
Part-based human detection on riemannian manifolds
Parzen Window Approximation on riemannian Manifold
PDE Approach to Data-Driven Sub-riemannian Geodesics in SE(2), A
Pedestrian Detection via Classification on riemannian Manifolds
Piecewise-Bezier C1 Interpolation on riemannian Manifolds with Application to 2D Shape Morphing
Polynomial Regression on riemannian Manifolds
Prediction-based classification using learning on riemannian manifolds
Principal Curves on riemannian Manifolds
Principal Spine Shape Deformation Modes Using riemannian Geometry and Articulated Models
Probabilistic Detection of Crowd Events on riemannian Manifolds
Probabilistic Permutation Synchronization Using the riemannian Structure of the Birkhoff Polytope
Probabilistic tracking on riemannian manifolds
Proximal riemannian Pursuit for Large-Scale Trace-Norm Minimization
Rate-Invariant Analysis of Trajectories on riemannian Manifolds with Application in Visual Speech Recognition
Re-evaluation of Pedestrian Detection on riemannian Manifolds, A
Recognizing Interactive Group Activities Using Temporal Interaction Matrices and Their riemannian Statistics
recursive filter for linear systems on riemannian manifolds, A
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over riemannian Manifolds
Relational divergence based classification on riemannian manifolds
riemannian Alternative Matrix Completion for Image-Based Flame Recognition
riemannian analysis of 3D nose shapes for partial human biometrics, A
riemannian Analysis of Probability Density Functions with Applications in Vision
riemannian Anisotropic Diffusion for Tensor Valued Images
riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI), A
riemannian approach for free-space extraction and path planning using catadioptric omnidirectional vision, A
riemannian approach to graph embedding, A
riemannian Bayesian estimation of diffusion tensor images
riemannian Bayesian Framework for Estimating Diffusion Tensor Images, A
riemannian coding and dictionary learning: Kernels to the rescue
riemannian Curvature-Driven Flows for Tensor-Valued Data
riemannian Drums, Anisotropic Curve Evolution, and Segmentation
riemannian dynamic generalized space quantization learning
riemannian Elastic Metric for Shape-Based Plant Leaf Classification, A
riemannian Framework for Analysis of Human Body Surface, A
riemannian Framework for Detecting Stimulus-Relevant Fiber Pathways, A
riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of Shapes, A
riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform, A
riemannian Framework for Statistical Analysis of Topological Persistence Diagrams, A
riemannian Framework for Structurally Curated Functional Clustering of Brain White Matter Fibers, A
riemannian Framework for Tensor Computing, A
riemannian Geometric Approaches for Measuring Movement Quality
riemannian Geometry of Deep Generative Models, The
riemannian Geometry of the Space of Positive-Definite Matrices and Its Application to the Regularization of Positive-Definite Matrix-Valued Data, The
riemannian kernel based Nystrom method for approximate infinite-dimensional covariance descriptors with application to image set classification
riemannian Manifold Learning
riemannian Manifold Learning for Nonlinear Dimensionality Reduction
riemannian Manifold Learning, Clustering
riemannian manifold optimisation for non-rigid structure from motion
riemannian manifold-based support vector machine for human activity classification in images
riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living
riemannian mathematical morphology
riemannian Mean Curvature Flow
riemannian Metric Learning based on Curvature Flow
riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
riemannian Optimization for Registration of Curves in Elastic Shape Analysis
riemannian representation learning for multi-source domain adaptation
riemannian Scalar Measure for Diffusion Tensor Images, A
riemannian Self-Organizing Map, A
riemannian SOS-Polynomial Normalizing Flows
riemannian Sparse Coding for Positive Definite Matrices
riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities
riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data
riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
riemannian Weighted Filter for Edge-sensitive Image Smoothing, A
riemannian Weighted Filter for Edge-sensitive Image Smoothing, A
RMAML: riemannian meta-learning with orthogonality constraints
Robust statistics on riemannian manifolds via the geometric median
Rolling riemannian Manifolds to Solve the Multi-class Classification Problem
Sectional Curvature in Terms of the Cometric, with Applications to the riemannian Manifolds of Landmarks
Segmentation as a riemannian drum problem
Segmentation of High Angular Resolution Diffusion MRI Using Sparse riemannian Manifold Clustering
Segmentation via Graph-Spectral Methods and riemannian Geometry
Semi-intrinsic Mean Shift on riemannian Manifolds
Silhouette-based gesture and action recognition via modeling trajectories on riemannian shape manifolds
Single and Multiple Object Tracking Using Log-Euclidean riemannian Subspace and Block-Division Appearance Model
Space of Essential Matrices as a riemannian Quotient Manifold, The
Sparse Exact PGA on riemannian Manifolds
Sparse Representation Over Learned Dictionaries on the riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer
Statistical Computing on Manifolds: From riemannian Geometry to Computational Anatomy
statistical model of riemannian metric variation for deformable shape analysis, A
Structure Tensor riemannian Statistical Models for CBIR and Classification of Remote Sensing Images
Sub-riemannian Fast Marching in SE(2)
Sub-riemannian Mean Curvature Flow for Image Processing
Sub-riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles, A
Subscripto multiplex: A riemannian symmetric positive definite strategy for offline signature verification
Sum-Path-Gain Maximization for IRS-Aided MIMO Communication System via riemannian Gradient Descent Network
Target Recognition Based on a Novel riemannian Map
Temporal Reflection Symmetry of Human Actions: A riemannian Analysis
Texture image classification with riemannian fisher vectors
Texture image classification with riemannian fisher vectors issued from a Laplacian model
Texture segmentation using independent-scale component-wise riemannian-covariance Gaussian mixture model in KL measure based multi-scale nonlinear structure tensor space
Time Discrete Extrapolation in a riemannian Space of Images
Tracking of Lines in Spherical Images via Sub-riemannian Geodesics in SO(3)
Tracking visual and infrared objects using joint riemannian manifold appearance and affine shape modeling
Transport on riemannian Manifold for Connectivity-Based Brain Decoding
Unscented Kalman Filtering on riemannian Manifolds
Unsupervised Classification of Polarimetric SAR Images via riemannian Sparse Coding
Unsupervised Human Action Categorization Using a riemannian Averaged Fixed-Point Learning of Multivariate GGMM
Variational Level Set Segmentation in riemannian Sobolev Spaces
Visual object tracking with online learning on riemannian manifolds by one-class support vector machines
Visual Tracking Based on Log-Euclidean riemannian Sparse Representation
Visual Tracking on riemannian Space Using Updated Standard Deviation Based Model
Visual tracking via incremental Log-Euclidean riemannian subspace learning
Wrapped Gaussian Process Regression on riemannian Manifolds
232 for riemannian

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Last update:18-Apr-24 12:23:06
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