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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 2141–2150 of 3304 papers

Title	Date	Tasks	Status	Hype
Elementos da teoria de aprendizagem de máquina supervisionada	Oct 6, 2019	Dimensionality Reduction	—Unverified	0
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning	Oct 5, 2019	Dimensionality ReductionGaussian Processes	—Unverified	0
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method	Oct 5, 2019	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification	Oct 4, 2019	ClassificationDimensionality Reduction	—Unverified	0
Near-Convex Archetypal Analysis	Oct 2, 2019	Dimensionality Reduction	—Unverified	0
Fault Detection Using Nonlinear Low-Dimensional Representation of Sensor Data	Oct 2, 2019	Anomaly DetectionDimensionality Reduction	—Unverified	0
Specializing Word Embeddings (for Parsing) by Information Bottleneck	Oct 1, 2019	Dimensionality ReductionPOS	CodeCode Available	0
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive	Oct 1, 2019	Dimensionality ReductionRetrieval	—Unverified	0
TriMap: Large-scale Dimensionality Reduction Using Triplets	Oct 1, 2019	Dimensionality ReductionTriplet	CodeCode Available	0
Order-Preserving Wasserstein Discriminant Analysis	Oct 1, 2019	3D Action RecognitionAction Recognition	—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