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 2581–2590 of 3304 papers

TitleStatusHype
Agile gesture recognition for capacitive sensing devices: adapting on-the-job—0
Agnostically Learning Multi-index Models with Queries—0
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction—0
A Graph Based Raman Spectral Processing Technique for Exosome Classification—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—0
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition—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