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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 1791–1800 of 3304 papers

Title	Date	Tasks	Status	Hype
Deep Manifold Computing and Visualization Using Elastic Locally Isometric Smoothness	Jan 1, 2021	Dimensionality Reduction	—Unverified	0
Selective Sensing: A Data-driven Nonuniform Subsampling Approach for Computation-free On-Sensor Data Dimensionality Reduction	Jan 1, 2021	Compressive SensingDimensionality Reduction	—Unverified	0
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification	Dec 31, 2020	ClassificationDimensionality Reduction	CodeCode Available	0
Manifold learning with arbitrary norms	Dec 28, 2020	Dimensionality Reduction	CodeCode Available	0
Stochastic Approximation for Online Tensorial Independent Component Analysis	Dec 28, 2020	Dimensionality Reduction	—Unverified	0
A method to integrate and classify normal distributions	Dec 23, 2020	Dimensionality Reduction	CodeCode Available	0
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction	Dec 22, 2020	Dimensionality Reduction	CodeCode Available	0
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning	Dec 21, 2020	Dimensionality Reductionreinforcement-learning	CodeCode Available	0
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks	Dec 21, 2020	Adversarial AttackDimensionality Reduction	—Unverified	0
Upper and Lower Bounds on the Performance of Kernel PCA	Dec 18, 2020	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