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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Vydané v:	IEEE International Geoscience and Remote Sensing Symposium proceedings s. 9 - 12
Hlavní autori:	Nishikawa, Tomohiro, Tanaka, Yuichi
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2017
Predmet:	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
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