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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 711–720 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Adversarial Robustness of VAEs across Intersectional Subgroups	Jul 4, 2024	Adversarial RobustnessDimensionality Reduction	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction	Oct 3, 2018	Dimensionality ReductionQuantitative MRI	CodeCode Available	0	5
Locally Linear Image Structural Embedding for Image Structure Manifold Learning	Aug 25, 2019	Dimensionality ReductionImage Quality Assessment	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia	Jul 24, 2024	Dimensionality ReductionPrognosis	CodeCode Available	0	5
Approximate Bayesian Computation with Domain Expert in the Loop	Jan 28, 2022	Active LearningDimensionality Reduction	CodeCode Available	0	5
Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method	Aug 18, 2022	Dimensionality Reduction	CodeCode Available	0	5
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clustering	May 6, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
Beyond the Nucleus: Cytoplasmic Dominance in Follicular Thyroid Carcinoma Detection Using Single-Cell Raman Imaging Across Multiple Devices	Apr 11, 2019	DiagnosticDimensionality Reduction	CodeCode Available	0	5

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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