On-line versus off-line accelerated kernel feature analysis: application to computer-aided detection of polyps in CT colonography

DOI10.1016/J.SIGPRO.2009.07.004zbMath1194.94148OpenAlexW2035266543MaRDI QIDQ985602

Alen Docef, Lahiruka Winter, Yuichi Motai

Publication date: 6 August 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.07.004

zbMATH Keywords

on-line learningextracting featuresaccelerated kernel feature analysiscomputed tomographic colonography

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• STPRTool

Cites Work

• Efficiently updating and tracking the dominant kernel principal components
• Kernel principal component analysis for efficient, differentiable parametrization of multipoint geostatistics
• On incremental and robust subspace learning
• Online Learning with Kernels
• Computer Vision - ECCV 2004
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