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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 2921–2930 of 3304 papers

Title	Date	Tasks	Status	Hype
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder	Feb 11, 2021	Dimensionality ReductionQuantization	CodeCode Available	0
Entropic Wasserstein Component Analysis	Mar 9, 2023	Dimensionality Reduction	CodeCode Available	0
Nested Grassmannians for Dimensionality Reduction with Applications	Oct 27, 2020	Action RecognitionClustering	CodeCode Available	0
EPR-Net: Constructing non-equilibrium potential landscape via a variational force projection formulation	Jan 5, 2023	Dimensionality Reduction	CodeCode Available	0
Deep learning to discover and predict dynamics on an inertial manifold	Dec 20, 2019	Dimensionality ReductionTranslation	CodeCode Available	0
Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set Method	Jan 22, 2022	Dimensionality Reduction	CodeCode Available	0
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises	Jan 29, 2019	Action Quality AssessmentDeep Learning	CodeCode Available	0
Classifying herbal medicine origins by temporal and spectral data mining of electronic nose	Apr 14, 2021	Dimensionality Reduction	CodeCode Available	0
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks	May 1, 2021	Dimensionality Reductionfeature selection	CodeCode Available	0
A Practical Algorithm for Topic Modeling with Provable Guarantees	Dec 19, 2012	Dimensionality ReductionTopic Models	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