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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 3021–3030 of 3304 papers

Title	Date	Tasks	Status	Hype
Adaptive Mixtures of Factor Analyzers	Jul 10, 2015	ClusteringDimensionality Reduction	CodeCode Available	0
Optimal approximate matrix product in terms of stable rank	Jul 8, 2015	ClusteringDimensionality Reduction	—Unverified	0
Early and Late Combinations of Criteria for Reranking Distributional Thesauri	Jul 1, 2015	Dimensionality ReductionReranking	—Unverified	0
New Transfer Learning Techniques for Disparate Label Sets	Jul 1, 2015	Dimensionality ReductionDomain Adaptation	—Unverified	0
Feature Selection for Short Text Classification using Wavelet Packet Transform	Jul 1, 2015	ClassificationDimensionality Reduction	—Unverified	0
Notes on Low-rank Matrix Factorization	Jun 30, 2015	ClusteringDimensionality Reduction	—Unverified	0
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification	Jun 25, 2015	Binary ClassificationDimensionality Reduction	—Unverified	0
Diagnosing ADHD from fMRI Scans Using Hidden Markov Models	Jun 19, 2015	Dimensionality Reduction	—Unverified	0
Random Maxout Features	Jun 11, 2015	Data VisualizationDimensionality Reduction	—Unverified	0
Spectral Representations for Convolutional Neural Networks	Jun 11, 2015	Dimensionality 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