Non-Mercer Kernels for SVM Object Recognition

doi 10.5244/c.18.16
Full Text
Abstract

Available in full text

Date
Authors
Publisher

British Machine Vision Association

Related search

Novel Multi-Class SVM Algorithm for Multiple Object Recognition

International Journal on Smart Sensing and Intelligent Systems
ControlSystems EngineeringElectricalElectronic Engineering
2015English

Evaluation of SVM Kernels for Health Risks Assessment

HELIX
2019English

Computational Strategies for Object Recognition

ACM Computing Surveys
Computer ScienceTheoretical Computer Science
1992English

Polarization Imaging for 3D Object Recognition

SPIE Newsroom
2010English

GMM vs SVM for Face Recognition and Face Verification

2011English

Signal Theory for SVM Kernel Design With Applications to Parameter Estimation and Sequence Kernels

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2008English

Visual Object Recognition

1995English

Classification of Tensors and Fiber Tracts Using Mercer-Kernels Encoding Soft Probabilistic Spatial and Diffusion Information

2009English

Object Classification via Feature Fusion Based Marginalized Kernels

IEEE Geoscience and Remote Sensing Letters
Electronic EngineeringElectricalEngineering GeologyGeotechnical Engineering
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy