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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 3091–3100 of 3304 papers

Title	Date	Tasks	Status	Hype
Fisher and Kernel Fisher Discriminant Analysis: Tutorial	Jun 22, 2019	Dimensionality Reduction	CodeCode Available	0
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks	Apr 5, 2020	Classification Of Breast Cancer Histology ImagesDimensionality Reduction	CodeCode Available	0
Fisherposes for Human Action Recognition Using Kinect Sensor Data	Feb 15, 2018	3D Action RecognitionAction Recognition	CodeCode Available	0
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation	Oct 14, 2020	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
RaSE: A Variable Screening Framework via Random Subspace Ensembles	Feb 7, 2021	Dimensionality Reduction	CodeCode Available	0
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch	Sep 23, 2024	Dimensionality ReductionEdge-computing	CodeCode Available	0
Throttling Malware Families in 2D	Jan 29, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
Decentralized State Estimation In A Dimension-Reduced Linear Regression	Oct 13, 2022	Dimensionality Reductionregression	CodeCode Available	0
Learning sparse codes from compressed representations with biologically plausible local wiring constraints	Dec 1, 2020	Dimensionality Reduction	CodeCode Available	0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds	Apr 18, 2019	Dimensionality Reduction	CodeCode Available	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