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Identifying latent reduced models to precondition lossy compression
Huizhang Luo
, Dan Huang
,
Qing Liu
, Zhenbo Qiao
, Hong Jiang
, Jing Bi
, Haitao Yuan
,
Mengchu Zhou
, Jinzhen Wang
, Zhenlu Qin
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
16
Scopus citations
Overview
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Computer Science
Lossy Compression
100%
Compression Ratio
100%
High-Performance Computing
33%
Scientific Data
33%
Case Study
33%
Compression Performance
33%
Principal Components
33%
Component Analysis
33%
Singular Value
33%
Wavelet Transforms
33%
Keyphrases
Reduced Model
100%
Lossy Compression
100%
Full Model
28%
High Compression Ratio
28%
Model Output
14%
Dimensionality Reduction
14%
Lossy
14%
Compression Performance
14%
Scientific Dataset
14%
Data Needs
14%
Principal Coordinate Analysis (PCoA)
14%
Error Bound
14%
Singular Value Decomposition
14%
Design philosophy
14%
Compression Ratio
14%
General Tolerance
14%
Discrete Wavelet Transform
14%
High Performance Computing Systems
14%
Engineering
Lossy Compression
100%
Compression Ratio
100%
Proof-of-Concept
33%
Fits and Tolerances
33%
Principal Components
33%
Component Analysis
33%
Singular Value Decomposition
33%
Error Bound
33%