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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 1391–1400 of 3304 papers

Title	Date	Tasks	Status	Hype
An efficient real-time target tracking algorithm using adaptive feature fusion	Apr 5, 2022	Dimensionality Reduction	—Unverified	0
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems	Apr 4, 2022	Dimensionality ReductionFeature Engineering	—Unverified	0
The Fast Johnson-Lindenstrauss Transform is Even Faster	Apr 4, 2022	Dimensionality Reduction	CodeCode Available	0
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting	Apr 4, 2022	Dimensionality ReductionTriplet	—Unverified	0
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
Ternary and Binary Quantization for Improved Classification	Mar 31, 2022	ClassificationDimensionality Reduction	—Unverified	0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality	Mar 31, 2022	Acoustic Scene ClassificationDictionary Learning	—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

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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