Colors in multimodal data: Dominant line extraction inspired by computer vision techniques

In this paper, we propose a multiple line extraction method from multimodal data points in high dimensional space. It can sparsely represent multimodal sensor network data by utilizing high correlation among channels in the data. We exploit the idea of Color Lines, which is a model using high correl...

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Bibliographic Details

Published in:	IEEE International Geoscience and Remote Sensing Symposium proceedings pp. 9 - 12
Main Authors:	Nishikawa, Tomohiro, Tanaka, Yuichi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Clustering algorithms color lines compression Correlation Data mining Estimation Image color analysis Multimodal data Ocean temperature Principal component analysis sensor network sparse coding
ISSN:	2153-7003
Online Access:	Get full text
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