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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1361–1370 of 3304 papers

Title	Date	Tasks	Status	Hype
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models	Dec 7, 2021	Dimensionality ReductionMulti-class Classification	CodeCode Available	0
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design	Dec 3, 2021	Dimensionality Reduction	—Unverified	0
Joint Characterization of the Cryospheric Spectral Feature Space	Dec 2, 2021	ClusteringDimensionality Reduction	—Unverified	0
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation	Dec 2, 2021	Dimensionality Reductionregression	CodeCode Available	1
Dimensionality Reduction for Categorical Data	Dec 1, 2021	Dimensionality Reduction	—Unverified	0
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data	Nov 30, 2021	Dimensionality Reduction	—Unverified	0
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization	Nov 28, 2021	Dimensionality ReductionFeature Engineering	CodeCode Available	1
Low-complexity Rounded KLT Approximation for Image Compression	Nov 28, 2021	Dimensionality ReductionImage Compression	—Unverified	0
Data-independent Low-complexity KLT Approximations for Image and Video Coding	Nov 28, 2021	Dimensionality ReductionVideo Compression	—Unverified	0
Dimension Reduction with Prior Information for Knowledge Discovery	Nov 26, 2021	Dimensionality Reduction	CodeCode Available	0

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified