Learning Robust Weighted Group Sparse Graph for Discriminant Visual Analysis

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Neural Processing Letters

• Publication date

  2018-03-03

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s11063-018-9809-5
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Pattern Recognition

  2018cited by this paper
• Neuron Pruning-Based Discriminative Extreme Learning Machine for Pattern Classification

  2017cited by this paper
• Design and analysis of associative memories based on external inputs of continuous bidirectional associative networks

  2017cited by this paper
• Dimension Reduction With Extreme Learning Machine

  2016cited by this paper
• Special Issue : Bridging Nature-Inspired Learning and Neural Information Processing

  2016cited by this paper
• Robust Visual Knowledge Transfer via Extreme Learning Machine-Based Domain Adaptation

  2016cited by this paper
• Classwise Sparse and Collaborative Patch Representation for Face Recognition

  2016cited by this paper
• LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation

  2016cited by this paper
• Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation

  2016cited by this paper
• Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral Images

  2016influential reference
• Sparsity induced locality preserving projection approaches for dimensionality reduction

  2016cited by this paper
• Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems

  2015cited by this paper
• Joint representation classification for collective face recognition

  2015cited by this paper
• Graph Maximum Margin Criterion for Face Recognition

  2015cited by this paper
• A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension

  2015cited by this paper
• Dimensionality Reduction of Hyperspectral Images With Sparse Discriminant Embedding

  2015cited by this paper
• Visual Understanding via Multi-Feature Shared Learning With Global Consistency

  2015cited by this paper
• Evolutionary Cost-Sensitive Extreme Learning Machine

  2015cited by this paper
• Weighted discriminative sparsity preserving embedding for face recognition

  2014cited by this paper
• Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery

  2014influential reference
• Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications

  2013cited by this paper
• Group sparse optimization by alternating direction method

  2013cited by this paper
• Face recognition using discriminant sparsity neighborhood preserving embedding

  2012influential reference
• Sparse Subspace Clustering: Algorithm, Theory, and Applications

  2012cited by this paper
• Trace Lasso: a trace norm regularization for correlated designs

  2011cited by this paper
• Discriminative learning by sparse representation for classification

  2011cited by this paper
• The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

  2010cited by this paper
• Image Super-Resolution Via Sparse Representation

  2010cited by this paper
• Learning With $\ell ^{1}$-Graph for Image Analysis

  2010cited by this paper
• Sparse Representation for Computer Vision and Pattern Recognition

  2010cited by this paper
• Robust Face Recognition via Sparse Representation

  2009cited by this paper
• Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis

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

  2007influential reference
• For most large underdetermined systems of equations, the minimal 𝓁1‐norm near‐solution approximates the sparsest near‐solution

  2006cited by this paper
• Orthogonal Laplacianfaces for Face Recognition

  2006influential reference
• Model selection and estimation in regression with grouped variables

  2006influential reference
• Neighborhood preserving embedding

  2005influential reference
• Principal Component Analysis

  2003influential reference
• Locality Preserving Projections

  2003cited by this paper
• The CMU Pose, Illumination, and Expression Database

  2003cited by this paper
• From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose

  2001cited by this paper
• Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

  2001cited by this paper
• A global geometric framework for nonlinear dimensionality reduction.

  2000cited by this paper
• Nonlinear dimensionality reduction by locally linear embedding.

  2000cited by this paper
• High-Dimensional Data Analysis: The Curses and Blessings of Dimensionality

  2000cited by this paper
• Regression Shrinkage and Selection via the Lasso

  1996cited by this paper
• Columbia Object Image Library (COIL100)

  1996cited by this paper
• Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

  1996influential reference

• Towards fusing fuzzy discriminative projection and representation learning for image classification

  2022cites this paper
• Robust Discriminant Projection Via Joint Margin and Locality Structure Preservation

  2021cites this paper
• Latent Discriminative Low-Rank Projection for Visual Dimension Reduction in Green Internet of Things

  2021cites this paper
• Identification of Influential Nodes for Drone Swarm Based on Graph Neural Networks

  2021cites this paper
• Learning Structurally Incoherent Background and Target Dictionaries for Hyperspectral Target Detection

  2020cites this paper
• Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence

  2020cites this paper
• CoLR: Classification-Oriented Local Representation for Image Recognition

  2019cites this paper
• Extreme Latent Representation Learning for Visual Classification

  2018cites this paper