SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 2231–2240 of 3304 papers

TitleStatusHype
Thermal hand image segmentation for biometric recognition—0
Thermal Human face recognition based on Haar wavelet transform and series matching technique—0
The role of dimensionality reduction in linear classification—0
The R package psvmSDR: A Unified Algorithm for Sufficient Dimension Reduction via Principal Machines—0
The Similarity-Consensus Regularized Multi-view Learning for Dimension Reduction—0
The space complexity of inner product filters—0
Determining Principal Component Cardinality through the Principle of Minimum Description Length—0
The Surprising Robustness of Partial Least Squares—0
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models—0
The Underlying Correlated Dynamics in Neural Training—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