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Learning low-dimensional temporal representations with latent alignments
Bing Su
*
,
Ying Wu
*
Corresponding author for this work
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
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Dive into the research topics of 'Learning low-dimensional temporal representations with latent alignments'. Together they form a unique fingerprint.
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Mathematics
Dimensionality Reduction
100%
Alignment
89%
Learning
70%
Reduction Method
57%
Subspace
54%
Linear Discriminant Analysis
34%
High-dimensional Data
29%
Iterative Solution
28%
Machine Learning
28%
Separability
28%
Transform
18%
Evaluation
18%
Observation
16%
Performance
15%
Class
7%
Engineering & Materials Science
Dimensionality reduction
84%
Discriminant analysis
27%
Machine learning
18%