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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 2201–2210 of 3304 papers

Title	Date	Tasks	Status	Hype
Improving the Projection of Global Structures in Data through Spanning Trees	Jul 12, 2019	Dimensionality Reduction	—Unverified	0
A Light weight and Hybrid Deep Learning Model based Online Signature Verification	Jul 9, 2019	Dimensionality Reduction	—Unverified	0
GP-VAE: Deep Probabilistic Time Series Imputation	Jul 9, 2019	Deep LearningDimensionality Reduction	CodeCode Available	0
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping	Jul 5, 2019	Decision MakingDimensionality Reduction	CodeCode Available	0
Generalized Principal Component Analysis	Jul 3, 2019	Dimensionality Reduction	—Unverified	0
Learning GPLVM with arbitrary kernels using the unscented transformation	Jul 3, 2019	Dimensionality ReductionGaussian Processes	CodeCode Available	0
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics	Jul 3, 2019	Dimensionality ReductionHyperparameter Optimization	CodeCode Available	0
Size matters for OTC market makers: general results and dimensionality reduction techniques	Jul 2, 2019	Dimensionality Reduction	—Unverified	0
Obj-GloVe: Scene-Based Contextual Object Embedding	Jul 2, 2019	Dimensionality ReductionImage Generation	—Unverified	0
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction	Jul 1, 2019	Dimensionality Reduction	—Unverified	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