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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 3131–3140 of 3304 papers

Title	Date	Tasks	Status	Hype
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor	Nov 13, 2021	AnatomyDimensionality Reduction	CodeCode Available	0
Online Recognition of Incomplete Gesture Data to Interface Collaborative Robots	Apr 13, 2023	Dimensionality ReductionGesture Recognition	CodeCode Available	0
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data	May 12, 2025	Dimensionality Reduction	CodeCode Available	0
Function Preserving Projection for Scalable Exploration of High-Dimensional Data	Sep 25, 2019	Dimensionality ReductionVocal Bursts Intensity Prediction	CodeCode Available	0
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis	May 23, 2019	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
Funnels: Exact maximum likelihood with dimensionality reduction	Dec 15, 2021	Dimensionality Reduction	CodeCode Available	0
Fun with Flags: Robust Principal Directions via Flag Manifolds	Jan 8, 2024	Dimensionality Reduction	CodeCode Available	0
A novel approach for Fair Principal Component Analysis based on eigendecomposition	Aug 24, 2022	Dimensionality ReductionFairness	CodeCode Available	0
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena	Apr 27, 2023	Dimensionality Reduction	CodeCode Available	0
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds	Aug 31, 2021	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