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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 761–770 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Online Convex Matrix Factorization with Representative Regions	Apr 4, 2019	Computational EfficiencyDictionary Learning	CodeCode Available	0	5
Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections	Aug 6, 2019	Change DetectionDimensionality Reduction	CodeCode Available	0	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection	Jan 1, 2018	Anomaly DetectionDensity Estimation	CodeCode Available	0	5
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring	Jun 15, 2022	Anomaly DetectionDimensionality Reduction	CodeCode Available	0	5
Deep Continuous Clustering	Mar 5, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint	Sep 16, 2021	Dimensionality Reduction	CodeCode Available	0	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0	5
Deep Diffusion Maps	May 9, 2025	Dimensionality Reduction	CodeCode Available	0	5
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters	Oct 22, 2014	Decision MakingDimensionality Reduction	CodeCode Available	0	5

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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