SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 22812290 of 3304 papers

TitleStatusHype
Deep Embedded SOM: Joint Representation Learning and Self-OrganizationCode0
A Robust Approach for Securing Audio Classification Against Adversarial Attacks0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras0
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization0
Local Deep-Feature Alignment for Unsupervised Dimension Reduction0
SCANN: Synthesis of Compact and Accurate Neural Networks0
Multi-stage Antenna Selection for Adaptive Beamforming in MIMO Arrays0
Privacy-Enhancing Context Authentication from Location-Sensitive Data0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition ManifoldsCode0
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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