Kernel PCA for novelty detection
type: Item
instance of: scholarly article
title: Kernel PCA for novelty detection
zbMATH Open document ID: 1118.68140
author: Heiko Hoffmann
published in: Pattern Recognition
publication date: 2006-12-07T00:00:00Z
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 5078620
zbMATH Keywords: kernel method
zbMATH Keywords: novelty detection
zbMATH Keywords: PCA
zbMATH Keywords: handwritten digit
zbMATH Keywords: breast cancer
describes a project that uses: UCI-ml
describes a project that uses: MNIST
describes a project that uses: LIBSVM
MaRDI profile type: Publication
full work available at URL: j.patcog.2006.07.009
OpenAlex ID: W2103914106
Wikidata QID: Q59567939
cites work: Novelty detection: a review. I. Statistical approaches
cites work: Novelty detection: a review. II. Neural network based approaches
cites work: Estimating the support of a high-dimensional distribution
cites work: Q4808580
cites work: Q5800557
cites work: On Estimation of a Probability Density Function and Mode
cites work: Q3838028
cites work: Multisurface method of pattern separation for medical diagnosis applied to breast cytology.
cites work: Q4706587
DBLP publication ID: journals/pr/Hoffmann07
DOI: 10.1016/J.PATCOG.2006.07.009
description: scientific article; zbMATH DE number 5078620