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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 2221–2230 of 3304 papers

Title	Date	Tasks	Status	Hype
The Perfect Marriage and Much More: Combining Dimension Reduction, Distance Measures and Covariance	Jul 12, 2019	Dimensionality ReductionLEMMA	—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
Obj-GloVe: Scene-Based Contextual Object Embedding	Jul 2, 2019	Dimensionality ReductionImage Generation	—Unverified	0
Size matters for OTC market makers: general results and dimensionality reduction techniques	Jul 2, 2019	Dimensionality Reduction	—Unverified	0
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks	Jul 1, 2019	Dimensionality ReductionTime Series Analysis	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