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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 2441–2450 of 3304 papers

Title	Date	Tasks	Status	Hype
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning	Oct 22, 2018	Dimensionality Reduction	—Unverified	0
Optimal terminal dimensionality reduction in Euclidean space	Oct 22, 2018	Dimensionality ReductionLEMMA	—Unverified	0
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions	Oct 16, 2018	Dimensionality ReductionGeneral Classification	—Unverified	0
Fast Randomized PCA for Sparse Data	Oct 16, 2018	Dimensionality ReductionInformation Retrieval	CodeCode Available	0
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models	Oct 16, 2018	Dimensionality Reduction	CodeCode Available	0
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis	Oct 16, 2018	Dimensionality Reduction	—Unverified	0
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation	Oct 15, 2018	Change DetectionDimensionality Reduction	—Unverified	0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach	Oct 15, 2018	Dimensionality Reduction	CodeCode Available	0
Asymptotics for Sketching in Least Squares Regression	Oct 14, 2018	Dimensionality Reductionregression	CodeCode Available	0
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals	Oct 12, 2018	Dimensionality ReductionFault Detection	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