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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 2361–2370 of 3304 papers

Title	Date	Tasks	Status	Hype
A Tangent Distance Preserving Dimensionality Reduction Algorithm	Feb 4, 2019	Dimensionality Reduction	—Unverified	0
Higher-order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations	Jan 31, 2019	Dimensionality Reductionimage-classification	—Unverified	0
Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency	Jan 30, 2019	Dimensionality Reduction	—Unverified	0
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization	Jan 30, 2019	Dimensionality Reduction	—Unverified	0
Representation Transfer for Differentially Private Drug Sensitivity Prediction	Jan 29, 2019	BIG-bench Machine LearningCancer type classification	—Unverified	0
Throttling Malware Families in 2D	Jan 29, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises	Jan 29, 2019	Action Quality AssessmentDeep Learning	CodeCode Available	0
Diseño de un espacio semántico sobre la base de la Wikipedia. Una propuesta de análisis de la semántica latente para el idioma español	Jan 28, 2019	Dimensionality Reduction	—Unverified	0
Stochastic Linear Bandits with Hidden Low Rank Structure	Jan 28, 2019	Decision MakingDimensionality Reduction	—Unverified	0
On the cross-validation bias due to unsupervised pre-processing	Jan 25, 2019	Dimensionality Reductionfeature selection	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