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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 3061–3070 of 3304 papers

Title	Date	Tasks	Status	Hype
Functional Inverse Regression in an Enlarged Dimension Reduction Space	Mar 12, 2015	Dimensionality Reductionregression	—Unverified	0
2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA	Mar 12, 2015	Dimensionality ReductionFace Recognition	—Unverified	0
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning	Mar 11, 2015	Dimensionality ReductionPoint Processes	—Unverified	0
Scalable Iterative Algorithm for Robust Subspace Clustering	Mar 5, 2015	ClusteringDimensionality Reduction	—Unverified	0
Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization	Feb 27, 2015	Dimensionality Reduction	—Unverified	0
On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing	Feb 25, 2015	Dimensionality Reduction	—Unverified	0
Sparse Multivariate Factor Regression	Feb 25, 2015	Dimensionality Reductionregression	—Unverified	0
On the consistency theory of high dimensional variable screening	Feb 24, 2015	Computational EfficiencyDimensionality Reduction	—Unverified	0
The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction	Feb 24, 2015	Dimensionality Reduction	—Unverified	0
Personalising Mobile Advertising Based on Users Installed Apps	Feb 24, 2015	ClusteringDimensionality 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