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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 1051–1075 of 3304 papers

TitleStatusHype
A new filter for dimensionality reduction and classification of hyperspectral images using GLCM features and mutual information—0
A Faster Approach to Spiking Deep Convolutional Neural Networks—0
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General RelativityCode0
Hybridization of filter and wrapper approaches for the dimensionality reduction and classification of hyperspectral images—0
Supervised classification methods applied to airborne hyperspectral images: Comparative study using mutual information—0
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
Hyperspectral Images Classification and Dimensionality Reduction using spectral interaction and SVM classifier—0
A Novel Filter Approach for Band Selection and Classification of Hyperspectral Remotely Sensed Images Using Normalized Mutual Information and Support Vector Machines—0
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images—0
Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation—0
A novel filter based on three variables mutual information for dimensionality reduction and classification of hyperspectral images—0
A new band selection approach based on information theory and support vector machine for hyperspectral images reduction and classification—0
Hyperspectral images classification and Dimensionality Reduction using Homogeneity feature and mutual information—0
A Spectral Method for Assessing and Combining Multiple Data VisualizationsCode1
A Novel Approach for Dimensionality Reduction and Classification of Hyperspectral Images based on Normalized Synergy—0
New wrapper method based on normalized mutual information for dimension reduction and classification of hyperspectral images—0
An Algorithm and Heuristic based on Normalized Mutual Information for Dimensionality Reduction and Classification of Hyperspectral images—0
NeuroMapper: In-browser Visualizer for Neural Network TrainingCode0
Face Pyramid Vision TransformerCode0
An Experimental Study of Dimension Reduction Methods on Machine Learning Algorithms with Applications to Psychometrics—0
A Dashboard to Analysis and Synthesis of Dimensionality Reduction Methods in Remote Sensing—0
Transformer-based dimensionality reduction—0
A Brief Survey on Representation Learning based Graph Dimensionality Reduction Techniques—0
An Additive Autoencoder for Dimension EstimationCode1
Decentralized State Estimation In A Dimension-Reduced Linear RegressionCode0
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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