SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 27012710 of 3304 papers

TitleStatusHype
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
Computer vision-based framework for extracting geological lineaments from optical remote sensing dataCode0
Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty QuantificationCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Benign AutoencodersCode0
Validating Clustering Frameworks for Electric Load Demand ProfilesCode0
Unifying Summary Statistic Selection for Approximate Bayesian ComputationCode0
Computer-aided Interpretable Features for Leaf Image ClassificationCode0
Theano: A Python framework for fast computation of mathematical expressionsCode0
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor CompletionCode0
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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