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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 1261–1270 of 3304 papers

Title	Date	Tasks	Status	Hype
Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents	Apr 1, 2022	Dimensionality Reduction	—Unverified	0
Transformers for 1D Signals in Parkinson's Disease Detection from Gait	Apr 1, 2022	Dimensionality Reduction	CodeCode Available	1
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality	Mar 31, 2022	Acoustic Scene ClassificationDictionary Learning	—Unverified	0
Ternary and Binary Quantization for Improved Classification	Mar 31, 2022	ClassificationDimensionality Reduction	—Unverified	0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation	Mar 28, 2022	DenoisingDimensionality Reduction	CodeCode Available	0
Digital Fingerprinting of Microstructures	Mar 25, 2022	Dimensionality ReductionTransfer Learning	—Unverified	0
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA	Mar 25, 2022	Dimensionality ReductionVariational Inference	—Unverified	0
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction	Mar 24, 2022	16kData Augmentation	CodeCode Available	1
Semi-Supervised Graph Learning Meets Dimensionality Reduction	Mar 23, 2022	ClusteringDimensionality Reduction	CodeCode Available	0
Evolution is Driven by Natural Autoencoding: Reframing Species, Interaction Codes, Cooperation, and Sexual Reproduction	Mar 22, 2022	Dimensionality 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