Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IEEE transactions on circuits and systems for video technology (Print)

• Publication date

  2015-01-19

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/TCSVT.2015.2392472
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• The Pascal Visual Object Classes Challenge: A Retrospective

  2014cited by this paper
• BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification

  2013cited by this paper
• A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models

  2013cited by this paper
• Robust Kernel Representation With Statistical Local Features for Face Recognition

  2013cited by this paper
• Harvesting Mid-level Visual Concepts from Large-Scale Internet Images

  2013cited by this paper
• Kernel Learning for Extrinsic Classification of Manifold Features

  2013cited by this paper
• Log-Euclidean Kernels for Sparse Representation and Dictionary Learning

  2013cited by this paper
• Learning Discriminative Part Detectors for Image Classification and Cosegmentation

  2013cited by this paper
• Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices

  2013cited by this paper
• Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

  2013cited by this paper
• Low-Rank Sparse Coding for Image Classification

  2013cited by this paper
• Learning Hybrid Part Filters for Scene Recognition

  2012cited by this paper
• Tangent Bundles on Special Manifolds for Action Recognition

  2012cited by this paper
• Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction

  2012cited by this paper
• Covariance discriminative learning: A natural and efficient approach to image set classification

  2012cited by this paper
• Semantic Segmentation with Second-Order Pooling

  2012cited by this paper
• Scene Recognition on the Semantic Manifold

  2012cited by this paper
• Effective Use of Frequent Itemset Mining for Image Classification

  2012cited by this paper
• Robust and Efficient Subspace Segmentation via Least Squares Regression

  2012cited by this paper
• LIBSVM: A library for support vector machines

  2011cited by this paper
• Local Naive Bayes Nearest Neighbor for image classification

  2011cited by this paper
• Geometric ℓp-norm feature pooling for image classification

  2011cited by this paper
• A graph-matching kernel for object categorization

  2011cited by this paper
• Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching

  2011cited by this paper
• Vlfeat: an open and portable library of computer vision algorithms

  2010cited by this paper
• Kernel Sparse Representation for Image Classification and Face Recognition

  2010cited by this paper
• Improving the Fisher Kernel for Large-Scale Image Classification

  2010cited by this paper
• Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification

  2010cited by this paper
• Recognizing indoor scenes

  2009cited by this paper
• Learning on lie groups for invariant detection and tracking

  2008cited by this paper
• Pedestrian Detection via Classification on Riemannian Manifolds

  2008cited by this paper
• Grassmann discriminant analysis: a unifying view on subspace-based learning

  2008cited by this paper
• Nonlinear Discriminant Analysis on Embedded Manifold

  2007cited by this paper
• Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

  2007cited by this paper
• Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices

  2007cited by this paper
• Region Covariance: A Fast Descriptor for Detection and Classification

  2006cited by this paper
• Symmetric Positive-Definite Matrices: From Geometry to Applications and Visualization

  2006cited by this paper
• Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

  2006cited by this paper
• A Riemannian Framework for Tensor Computing

  2005cited by this paper
• An optimization criterion for generalized discriminant analysis on undersampled problems

  2004cited by this paper
• Neighbourhood Components Analysis

  2004cited by this paper
• Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

  2004cited by this paper
• An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation

  2004cited by this paper
• Theory of Lie Groups

  1946cited by this paper
• Magnetic Resonance in Medicine 56:411–421 (2006) Log-Euclidean Metrics for Fast and Simple Calculus on Diffusion Tensors

  year unknowncited by this paper

• Manifold learning based on locally linear embedding for symmetric positive definite matrix

  2025cites this paper
• PKNNet: a novel feature learning architecture for vegetation mapping using remote sensing hyperspectral image classification

  2023cites this paper
• A Lie group kernel learning method for medical image classification

  2023cites this paper
• Discrete Metric Learning for Fast Image Set Classification

  2022cites this paper
• A Framework for Short Video Recognition Based on Motion Estimation and Feature Curves on SPD Manifolds

  2022cites this paper
• Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity

  2022influential citation
• SPD Data Dimensionality Reduction based on SPD Manifold Tangent Space and Local LDA

  2021cites this paper
• Random Convolutional Network for Hyperspectral Image Classification

  2021cites this paper
• Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry

  2021cites this paper
• Robust Dictionary Learning and Sparse Coding With Riemannian Geometry Preserving Method in Symmetric Matrices Inner Product Space

  2020cites this paper
• Divide-and-Conquer Dual-Architecture Convolutional Neural Network for Classification of Hyperspectral Images

  2019cites this paper
• Multi-Task Embedded Convolutional Neural Network for Hyperspectral Image Classification

  2019cites this paper
• SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification

  2019cites this paper
• Sparse Representations and Feature Learning for Image Set Classification and Correspondence Estimation

  2018cites this paper
• EEG feature descriptors and discriminant analysis under Riemannian Manifold perspective

  2018cites this paper
• Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification

  2018influential citation
• Scene recognition with objectness

  2018cites this paper
• SRNN: Self-regularized neural network

  2018cites this paper
• Convolutional neural networks for hyperspectral image classification

  2017cites this paper
• Effective and efficient Grassfinch kernel for SVM classification and its application to recognition based on image set

  2016cites this paper
• Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

  2016cites this paper
• Discriminative Log-Euclidean Feature Learning for Sparse Representation-Based Recognition of Faces from Videos

  2016cites this paper
• Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video

  2016cites this paper
• Locally Adaptive Topology Preservation for Diffeomorphic Registration in Medical Imaging

  2016cites this paper
• Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation

  2016influential citation