SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 661–670 of 3304 papers

TitleStatusHype
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test—0
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images—0
Computing Approximate _p Sensitivities—0
Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm—0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems—0
Concept Drift Detection in Federated Networked Systems—0
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons—0
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
A Fully Convolutional Network for MR Fingerprinting—0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified