SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1901–1925 of 3304 papers

TitleStatusHype
Generalized Categorization Axioms—0
Generalized notions of sparsity and restricted isometry property. Part I: A unified framework—0
Generalized Principal Component Analysis—0
Supervised tensor decomposition with features on multiple modes—0
Generalized two-dimensional linear discriminant analysis with regularization—0
Generative adversarial learning with optimal input dimension and its adaptive generator architecture—0
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification—0
Generative Local Metric Learning for Nearest Neighbor Classification—0
Generative Modeling: A Review—0
Generative Modeling for Atmospheric Convection—0
Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization—0
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting—0
GENHOP: An Image Generation Method Based on Successive Subspace Learning—0
Genomics Data Analysis via Spectral Shape and Topology—0
GenURL: A General Framework for Unsupervised Representation Learning—0
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds—0
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees—0
Survey: Geometric Foundations of Data Reduction—0
Geometric Machine Learning on EEG Signals—0
Geometry and dimensionality reduction of feature spaces in primary visual cortex—0
Geometry-Aware Hamiltonian Variational Auto-Encoder—0
Geometry of Deep Learning for Magnetic Resonance Fingerprinting—0
GiBy: A Giant-Step Baby-Step Classifier For Anomaly Detection In Industrial Control Systems—0
G-invariant diffusion maps—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