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 876–900 of 3304 papers

TitleStatusHype
Bayesian full waveform inversion with sequential surrogate model refinement—0
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization—0
Bayesian Exponential Family PCA—0
Bayesian Data Sketching for Varying Coefficient Regression Models—0
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm—0
A Dimensionality Reduction Approach for Convolutional Neural Networks—0
Bayesian Compressed Regression—0
Analysing race and sex bias in brain age prediction—0
Bayesian Calibration for Activity Based Models—0
Analyse en Composante Principale pour l'extraction des i-vecteurs en v\'erification du locuteur (Principal Component Analysis for i-vector extraction in speaker verification.) [in French]—0
A determinantal point process for column subset selection—0
A witness function based construction of discriminative models using Hermite polynomials—0
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems—0
A description length approach to determining the number of k-means clusters—0
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems—0
3D Structural Phenotype of the Optic Nerve Head at the Intersection of Glaucoma and Myopia - A Key to Improving Glaucoma Diagnosis in Myopic Populations—0
Feature Clock: High-Dimensional Effects in Two-Dimensional Plots—0
A Wavelet Diffusion GAN for Image Super-Resolution—0
A Wasserstein perspective of Vanilla GANs—0
An Algorithm and Heuristic based on Normalized Mutual Information for Dimensionality Reduction and Classification of Hyperspectral images—0
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration—0
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction—0
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution—0
AVIDA: Alternating method for Visualizing and Integrating Data—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—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