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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 1841–1850 of 3304 papers

Title	Date	Tasks	Status	Hype
LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density	Sep 17, 2020	ClusteringDimensionality Reduction	CodeCode Available	0
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder	Sep 17, 2020	Dimensionality ReductionGeneral Classification	CodeCode Available	0
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing	Sep 17, 2020	Dimensionality Reduction	CodeCode Available	0
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection	Sep 17, 2020	Dimensionality ReductionVariable Selection	—Unverified	0
Learning a Deep Part-based Representation by Preserving Data Distribution	Sep 17, 2020	Density EstimationDimensionality Reduction	—Unverified	0
PCA Reduced Gaussian Mixture Models with Applications in Superresolution	Sep 16, 2020	Dimensionality Reduction	CodeCode Available	0
Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data	Sep 16, 2020	ClusteringDimensionality Reduction	—Unverified	0
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents	Sep 15, 2020	continuous-controlContinuous Control	—Unverified	0
Sufficient Dimension Reduction for Average Causal Effect Estimation	Sep 14, 2020	counterfactualDimensionality Reduction	—Unverified	0
Applying a random projection algorithm to optimize machine learning model for breast lesion classification	Sep 9, 2020	BIG-bench Machine LearningDimensionality 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