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E. Van Denhaute

dblp:201/1568 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 50% Image and video processing · 50%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › biomedical data science › cancer informatics
breast cancer detection
0.011988
Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection · CVPR 1988
Medical and health informatics
medical imaging
0.011988
Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection · CVPR 1988
Medical and health informatics › medical imaging
thermography
0.011988
Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection · CVPR 1988
Image and video processing › subspace analysis › principal component analysis
karhunen-loeve transform
0.011988
Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection · CVPR 1988
Multimedia analysis and retrieval
video analysis
0.011988
Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection · CVPR 1988

Methods — techniques the papers use, named apart from their topics

temporal analysis · 0.0karhunen-loeve transform · 0.0
YearPublicationVenuePosition
1988 Karhunen-Loeve analysis of dynamic sequences of thermographic images for early breast cancer detection
abstract
The Karhunen-Loeve transform (KLT) is applied to the analysis of dynamic sequences of thermograms describing the temporal evolution of body surface temperature following the application of an external thermal stimulus. The KLT may be evaluated either along the spatial or temporal dimensions of the data; the duality of both representations is emphasized. An example is presented to illustrate that the KLT allows an efficient data reduction and facilities tumor detection by highlighting physiologically important abnormalities in the time behavior of thermal patterns.>
Michael Unser, Hugo Van hamme, Patrick de Muynck, E. Van Denhaute, Jan Cornelis 0001
CVPR4