SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 23012310 of 3304 papers

TitleStatusHype
Deep Embedded SOM: Joint Representation Learning and Self-OrganizationCode0
A Robust Approach for Securing Audio Classification Against Adversarial Attacks0
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
Privacy-Enhancing Context Authentication from Location-Sensitive Data0
Multi-stage Antenna Selection for Adaptive Beamforming in MIMO Arrays0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition ManifoldsCode0
Kernel methods for detecting coherent structures in dynamical data0
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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