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Compressive Sampling and Subspace Learning (CS-SL)
Asoke Nandi,
Hosameldin Ahmed
Aston Digital Futures Institute
College of Engineering and Physical Sciences
Aston University
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Dive into the research topics of 'Compressive Sampling and Subspace Learning (CS-SL)'. Together they form a unique fingerprint.
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Keyphrases
Subspace Learning
100%
Compressive Sampling
100%
Sample Learning
100%
Fault Diagnosis
55%
Diagnostic Framework
44%
Vibration Data
33%
Principal Coordinate Analysis (PCoA)
11%
Learned Features
11%
Learning Framework
11%
Learning Techniques
11%
Learning-based
11%
Machine Learning Classifiers
11%
Feature Ranking
11%
Rotating Machines
11%
Fault Classification
11%
Machine Health
11%
Linear Subspace Learning
11%
Nonlinear Subspace Learning
11%
Compressive Features
11%
Computer Science
Compressive Sampling
100%
Fault Diagnosis
55%
Machine Learning
11%
Learning System
11%
Component Analysis
11%
Principal Components
11%
Learning Framework
11%
Learned Feature
11%
Learning Technique
11%
Linear Subspace
11%