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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 621–630 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0	5
An evaluation framework for dimensionality reduction through sectional curvature	Mar 17, 2023	Dimensionality Reduction	CodeCode Available	0	5
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	0	5
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters	Oct 22, 2014	Decision MakingDimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization	Jun 25, 2021	Dimensionality Reductionfeature selection	CodeCode Available	0	5
Linear and Quadratic Discriminant Analysis: Tutorial	Jun 1, 2019	Dimensionality ReductionGeneral Classification	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings	Nov 10, 2023	Dimensionality Reduction	CodeCode Available	0	5

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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