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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 2321–2330 of 3304 papers

Title	Date	Tasks	Status	Hype
Is 'Unsupervised Learning' a Misconceived Term?	Apr 5, 2019	BIG-bench Machine LearningClustering	—Unverified	0
Online Convex Matrix Factorization with Representative Regions	Apr 4, 2019	Computational EfficiencyDictionary Learning	CodeCode Available	0
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier	Apr 2, 2019	Anomaly DetectionDimensionality Reduction	—Unverified	0
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction	Apr 1, 2019	Dimensionality ReductionDocument Classification	—Unverified	0
Information Theoretic Feature Transformation Learning for Brain Interfaces	Mar 28, 2019	Brain Computer InterfaceDimensionality Reduction	—Unverified	0
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo	Mar 27, 2019	Dimensionality Reductionparameter estimation	—Unverified	0
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach	Mar 25, 2019	Dimensionality ReductionSurvival Prediction	—Unverified	0
Interactions between Representation Learning and Supervision	Mar 25, 2019	Continual LearningDimensionality Reduction	—Unverified	0
CUR Decompositions, Approximations, and Perturbations	Mar 22, 2019	Dimensionality Reduction	—Unverified	0
Aggregated Deep Local Features for Remote Sensing Image Retrieval	Mar 22, 2019	Dimensionality ReductionImage Retrieval	—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