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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 931–940 of 3304 papers

Title	Date	Tasks	Status	Hype
Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices	Mar 17, 2023	Dimensionality Reduction	CodeCode Available	0
An evaluation framework for dimensionality reduction through sectional curvature	Mar 17, 2023	Dimensionality Reduction	CodeCode Available	0
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction	Mar 16, 2023	Dimensionality ReductionRepresentation Learning	CodeCode Available	0
A Multimodal Data-driven Framework for Anxiety Screening	Mar 16, 2023	Dimensionality Reductionfeature selection	—Unverified	0
Evaluation of distance-based approaches for forensic comparison: Application to hand odor evidence	Mar 16, 2023	Dimensionality Reductionfeature selection	—Unverified	0
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation	Mar 15, 2023	Dimensionality ReductionDomain Adaptation	CodeCode Available	0
Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model	Mar 15, 2023	DiagnosticDimensionality Reduction	—Unverified	0
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids	Mar 15, 2023	DiagnosticDimensionality Reduction	—Unverified	0
Deep incremental learning models for financial temporal tabular datasets with distribution shifts	Mar 14, 2023	Dimensionality ReductionFeature Engineering	—Unverified	0
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation	Mar 14, 2023	Dimensionality ReductionSelf-Supervised Learning	—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