On Feature Extraction via Kernels

No abstract is available for this paper.

• Publication year

  2008

• Venue

  IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

• Publication date

  2008-04-01

• Fields of study

  Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.1109/TSMCB.2007.913604PMID 18348937
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Kernels as features: On kernels, margins, and low-dimensional mappings

  2006cited by this paper
• A kernel method for canonical correlation analysis

  2006influential reference
• KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition

  2005cited by this paper
• Two realizations of a general feature extraction framework

  2004cited by this paper
• On Kernels, Margins, and Low-Dimensional Mappings

  2004cited by this paper
• Kernel Methods for Pattern Analysis

  2004cited by this paper
• Function replacement vs. kernel trick

  2003cited by this paper
• Kernel and Nonlinear Canonical Correlation Analysis

  2000cited by this paper
• Feature Scaling in Support Vector Data Descriptions

  2000cited by this paper
• Advances in kernel methods: support vector learning

  1999cited by this paper
• Fisher discriminant analysis with kernels

  1999influential reference
• Nonlinear Component Analysis as a Kernel Eigenvalue Problem

  1998influential reference
• A Tutorial on Support Vector Machines for Pattern Recognition

  1998cited by this paper
• A training algorithm for optimal margin classifiers

  1992cited by this paper
• Relations Between Two Sets of Variates

  1936cited by this paper

• Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions

  2024cites this paper
• Kernel Methods

  2020cites this paper
• Inference of a compact representation of sensor fingerprint for source camera identification

  2018cites this paper
• Discriminative Dictionary Learning With Two-Level Low Rank and Group Sparse Decomposition for Image Classification

  2017cites this paper
• Multi-view dimensionality reduction via canonical random correlation analysis

  2016cites this paper
• Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection

  2014cites this paper
• Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets

  2014cites this paper
• A Multi-SOM with Canonical Variate Analysis for Chemical Process Monitoring and Fault Diagnosis

  2014cites this paper
• Estimation of particle size distribution on an industrial conveyor belt using image analysis and neural networks

  2014cites this paper
• Other Kernel Methods

  2014cites this paper
• Voting Among Virtually Generated Versions of a Classification Problem

  2012cites this paper
• Indoor positioning via nonlinear discriminative feature extraction in wireless local area network

  2012cites this paper
• LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration

  2012cites this paper
• Dimension Reduction by Mutual Information Feature Extraction

  2012cites this paper
• Dimension Reduction by Mutual Information Discriminant Analysis

  2012cites this paper
• Mutual information-based Fisher discriminant analysis for feature extraction and recognition with applications to medical diagnosis

  2010cites this paper
• A comparative study of two kernel ideas for nonlinear feature extraction

  2009cites this paper
• A Novel Margin Based Algorithm for Feature Extraction

  2009cites this paper
• Self-organizing maps in drug discovery: compound library design, scaffold-hopping, repurposing.

  2009cites this paper