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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 3121–3130 of 3304 papers

Title	Date	Tasks	Status	Hype
A feature construction framework based on outlier detection and discriminative pattern mining	Jul 17, 2014	Dimensionality Reductionfeature selection	—Unverified	0
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices	Jul 4, 2014	Dimensionality Reduction	—Unverified	0
Cortical spatio-temporal dimensionality reduction for visual grouping	Jul 2, 2014	ClusteringDimensionality Reduction	—Unverified	0
Extracting lexico-semantic relations from specialized corpora using a word space model (Analyse distributionnelle de corpus sp\'ecialis\'es pour l'identification de relations lexico-s\'emantiques) [in French]	Jul 1, 2014	Dimensionality Reduction	—Unverified	0
Image patch analysis and clustering of sunspots: a dimensionality reduction approach	Jun 24, 2014	ClusteringDimensionality Reduction	—Unverified	0
Factors of Transferability for a Generic ConvNet Representation	Jun 22, 2014	Dimensionality ReductionRepresentation Learning	—Unverified	0
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction	Jun 22, 2014	Dimensionality Reduction	—Unverified	0
Caffe: Convolutional Architecture for Fast Feature Embedding	Jun 20, 2014	ClusteringDimensionality Reduction	CodeCode Available	0
Dimensionality reduction for time series data	Jun 14, 2014	Dimensionality ReductionEEG	—Unverified	0
Unsupervised Deep Haar Scattering on Graphs	Jun 9, 2014	ClassificationDimensionality 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