SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 21212130 of 3304 papers

TitleStatusHype
Solving NMF with smoothness and sparsity constraints using PALMCode0
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies0
A Comparison of Neural Network Training Methods for Text Classification0
Variational Quantum Algorithms for Dimensionality Reduction and Classification0
Deep topic modeling by multilayer bootstrap network and lasso0
Unsupervised Boosting-based Autoencoder Ensembles for Outlier DetectionCode0
Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors0
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice SeparationCode0
Supervised tensor decomposition with features on multiple modes0
Supporting Multi-point Fan Design with Dimension ReductionCode0
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Benchmark Results

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