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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 2911–2920 of 3304 papers

Title	Date	Tasks	Status	Hype
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
Semantic Relatedness Based Re-ranker for Text Spotting	Sep 17, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
Enhancing Sufficient Dimension Reduction via Hellinger Correlation	May 30, 2024	Dimensionality Reduction	CodeCode Available	0
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval	Jul 14, 2017	Dimensionality ReductionImage Retrieval	CodeCode Available	0
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors	Jun 19, 2018	Dimensionality Reduction	CodeCode Available	0
Visualizing DNA reaction trajectories with deep graph embedding approaches	Nov 6, 2023	Dimensionality ReductionGraph Embedding	CodeCode Available	0
Cluster Exploration using Informative Manifold Projections	Sep 26, 2023	Dimensionality Reduction	CodeCode Available	0
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces	Apr 5, 2020	Dimensionality Reduction	CodeCode Available	0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemma	Aug 27, 2023	Dictionary LearningDimensionality Reduction	CodeCode Available	0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity	Aug 1, 2017	Dimensionality ReductionSemantic Similarity	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