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 2541–2550 of 3304 papers

TitleStatusHype
A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing—0
Additive Component Analysis—0
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
A Deep Graph Embedding Network Model for Face Recognition—0
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs—0
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification—0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017—0
A Deep Signed Directional Distance Function for Object Shape Representation—0
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution—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