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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1901–1910 of 3304 papers

Title	Date	Tasks	Status	Hype
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing	Sep 17, 2020	Dimensionality Reduction	CodeCode Available	0
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey	Sep 17, 2020	Dimensionality ReductionSurvey	CodeCode Available	0
Learning a Deep Part-based Representation by Preserving Data Distribution	Sep 17, 2020	Density EstimationDimensionality Reduction	—Unverified	0
LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density	Sep 17, 2020	ClusteringDimensionality Reduction	CodeCode Available	0
PCA Reduced Gaussian Mixture Models with Applications in Superresolution	Sep 16, 2020	Dimensionality Reduction	CodeCode Available	0
Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data	Sep 16, 2020	ClusteringDimensionality Reduction	—Unverified	0
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents	Sep 15, 2020	continuous-controlContinuous Control	—Unverified	0
Sufficient Dimension Reduction for Average Causal Effect Estimation	Sep 14, 2020	counterfactualDimensionality Reduction	—Unverified	0
Applying a random projection algorithm to optimize machine learning model for breast lesion classification	Sep 9, 2020	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
ECG Beats Fast Classification Base on Sparse Dictionaries	Sep 8, 2020	ClassificationDictionary Learning	CodeCode Available	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