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 2626–2650 of 3304 papers

TitleStatusHype
A Multi-view Dimensionality Reduction Algorithm Based on Smooth Representation Model—0
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files—0
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification—0
An adaptive block based integrated LDP,GLCM,and Morphological features for Face Recognition—0
ELBD: Efficient score algorithm for feature selection on latent variables of VAE—0
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization—0
An Algorithm and Heuristic based on Normalized Mutual Information for Dimensionality Reduction and Classification of Hyperspectral images—0
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems—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
Analysing race and sex bias in brain age prediction—0
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm—0
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization—0
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images—0
Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics—0
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance—0
ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning—0
Analyzing movies to predict their commercial viability for producers—0
Exact Cluster Recovery via Classical Multidimensional Scaling—0
An Analysis of the t-SNE Algorithm for Data Visualization—0
An approximate solution for options market-making in high dimension—0
An Attack on Facial Soft-biometric Privacy Enhancement—0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification—0
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion—0
An automated approach for task evaluation using EEG signals—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