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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 2741–2750 of 3304 papers

Title	Date	Tasks	Status	Hype
Sketched Subspace Clustering	Jul 22, 2017	ClusteringDimensionality Reduction	—Unverified	0
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics	Jul 21, 2017	Dimensionality Reduction	—Unverified	0
Structural Learning and Integrative Decomposition of Multi-View Data	Jul 20, 2017	ClusteringDimensionality Reduction	—Unverified	0
Discriminative convolutional Fisher vector network for action recognition	Jul 19, 2017	Action RecognitionAction Recognition In Videos	—Unverified	0
Algorithms for Approximate Subtropical Matrix Factorization	Jul 19, 2017	Dimensionality Reduction	—Unverified	0
Prediction with Dimension Reduction of Multiple Molecular Data Sources for Patient Survival	Jul 17, 2017	Dimensionality Reduction	—Unverified	0
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval	Jul 14, 2017	Dimensionality ReductionImage Retrieval	CodeCode Available	0
Predictive Liability Models and Visualizations of High Dimensional Retail Employee Data	Jul 14, 2017	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Accelerated Stochastic Power Iteration	Jul 10, 2017	Dimensionality Reduction	CodeCode Available	0
High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis	Jul 6, 2017	BIG-bench Machine LearningDimensionality Reduction	—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