SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 511520 of 3304 papers

TitleStatusHype
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Deep Random Splines for Point Process Intensity Estimation of Neural Population DataCode0
DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI TractographyCode0
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt PerspectiveCode0
Deep Learning with Nonparametric ClusteringCode0
A Generalized EigenGame with Extensions to Multiview Representation LearningCode0
Deep Linear Discriminant AnalysisCode0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
Show:102550
← PrevPage 52 of 331Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified