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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 2371–2380 of 3304 papers

Title	Date	Tasks	Status	Hype
Comparing of Term Clustering Frameworks for Modular Ontology Learning	Jan 25, 2019	ClusteringDimensionality Reduction	—Unverified	0
Empowering individual trait prediction using interactions	Jan 25, 2019	Dimensionality ReductionEpidemiology	—Unverified	0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test	Jan 23, 2019	Dimensionality ReductionMetric Learning	—Unverified	0
Coupling the reduced-order model and the generative model for an importance sampling estimator	Jan 23, 2019	Dimensionality Reductionmodel	—Unverified	0
On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems	Jan 22, 2019	Dimensionality ReductionGeneral Classification	CodeCode Available	0
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data	Jan 18, 2019	Bayesian InferenceBIG-bench Machine Learning	—Unverified	0
Image retrieval method based on CNN and dimension reduction	Jan 13, 2019	Dimensionality ReductionImage Retrieval	—Unverified	0
A witness function based construction of discriminative models using Hermite polynomials	Jan 10, 2019	Dimensionality ReductionGeneral Classification	—Unverified	0
Transfer Representation Learning with TSK Fuzzy System	Jan 9, 2019	Dimensionality ReductionRepresentation Learning	—Unverified	0
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals	Jan 8, 2019	Dimensionality ReductionVideo Compression	—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