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 1541–1550 of 3304 papers

TitleStatusHype
Brain Inspired Face Recognition: A Computational Framework—0
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?—0
How Do People Differ? A Social Media Approach—0
Deep Distributed Random Samplings for Supervised Learning: An Alternative to Random Forests?—0
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques—0
Human Activity Recognition using Smartphone—0
Human Activity Recognition using Smartphones—0
Human brain activity for machine attention—0
Human Face Recognition using Line Features—0
Efficient Binary Embedding of Categorical Data using BinSketch—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