Fast Dictionary Learning for High-Dimensional Seismic Reconstruction

A sparse dictionary is more adaptive than a sparse fixed-basis transform since it can learn the features directly from the input data in a data-driven way. However, learning a sparse dictionary is time-consuming because a large number of iterations are required in order to obtain the dictionary atom...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 59; číslo 8; s. 7098 - 7108
Hlavní autori:	Wang, Hang, Chen, Wei, Zhang, Quan, Liu, Xingye, Zu, Shaohuan, Chen, Yangkang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Atomic properties Computational efficiency Computer applications Computing costs Decomposition Dictionaries Dictionary learning (DL) Encoding Glossaries high-dimensional problem Image reconstruction Learning Mathematical model Seismic data seismic data reconstruction signal processing Singular value decomposition Sparse matrices Transforms
ISSN:	0196-2892, 1558-0644
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!