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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 2111–2120 of 3304 papers

Title	Date	Tasks	Status	Hype
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models	Oct 16, 2019	Deep LearningDimensionality Reduction	—Unverified	0
Earthmover-based manifold learning for analyzing molecular conformation spaces	Oct 16, 2019	Dimensionality Reduction	CodeCode Available	0
Multiclass spectral feature scaling method for dimensionality reduction	Oct 16, 2019	ClusteringDimensionality Reduction	—Unverified	0
Roweis Discriminant Analysis: A Generalized Subspace Learning Method	Oct 11, 2019	Dimensionality ReductionFace Recognition	CodeCode Available	0
Efficient Sketching Algorithm for Sparse Binary Data	Oct 10, 2019	ClusteringDimensionality Reduction	—Unverified	0
A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model	Oct 10, 2019	Dimensionality Reduction	—Unverified	0
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	Oct 8, 2019	Dimensionality Reductionimage-classification	CodeCode Available	2
Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries	Oct 7, 2019	Dimensionality ReductionMagnetic Resonance Fingerprinting	—Unverified	0
Elementos da teoria de aprendizagem de máquina supervisionada	Oct 6, 2019	Dimensionality Reduction	—Unverified	0
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning	Oct 5, 2019	Dimensionality ReductionGaussian Processes	—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