SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 25012510 of 3304 papers

TitleStatusHype
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data0
Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging0
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation0
A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image0
Tree-structured multi-stage principal component analysis (TMPCA): theory and applications0
Isolation Kernel and Its Effect on SVM0
Unsupervised Metric Learning in Presence of Missing DataCode0
Non-Gaussian Component Analysis using Entropy Methods0
Parametric generation of conditional geological realizations using generative neural networksCode0
Channel Charting: Locating Users within the Radio Environment using Channel State Information0
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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