SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 3304 papers

TitleStatusHype
Application Research On Real-Time Perception Of Device Performance Status—0
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition—0
A Category Space Approach to Supervised Dimensionality Reduction—0
Application of Symmetric Uncertainty and Mutual Information to Dimensionality Reduction and Classification of Hyperspectral Images—0
Application of Fuzzy Clustering for Text Data Dimensionality Reduction—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
A Critical Note on the Evaluation of Clustering Algorithms—0
Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality—0
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
Application of advanced machine learning algorithms for anomaly detection and quantitative prediction in protein A chromatography—0
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA—0
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—0
FlowBERT: Prompt-tuned BERT for variable flow field prediction—0
A Correspondence Analysis Framework for Author-Conference Recommendations—0
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data—0
A case study : Influence of Dimension Reduction on regression trees-based Algorithms -Predicting Aeronautics Loads of a Derivative Aircraft—0
Classification of EEG Signals using Genetic Programming for Feature Construction—0
Classification of high-dimensional data with spiked covariance matrix structure—0
Classification with Repulsion Tensors: A Case Study on Face Recognition—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