SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 201–250 of 3304 papers

TitleStatusHype
Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement—0
A dimensionality reduction technique based on the Gromov-Wasserstein distance—0
Hybrid Two-Stage Reconstruction of Multiscale Subsurface Flow with Physics-informed Residual Connected Neural Operator—0
Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach—0
Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA—0
Low-Dimensional Representation-Driven TSK Fuzzy System for Feature Selection—0
Using Space-Filling Curves and Fractals to Reveal Spatial and Temporal Patterns in Neuroimaging DataCode0
Generalizable Spectral Embedding with an Application to UMAP—0
Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks—0
Lee and Seung (2000)'s Algorithms for Non-negative Matrix Factorization: A Supplementary Proof Guide—0
On the dimension of pullback attractors in recurrent neural networks—0
Risk Analysis of Flowlines in the Oil and Gas Sector: A GIS and Machine Learning ApproachCode0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Enhancing UAV Path Planning Efficiency Through Accelerated Learning—0
Refusal Behavior in Large Language Models: A Nonlinear PerspectiveCode0
Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT—0
PRKAN: Parameter-Reduced Kolmogorov-Arnold NetworksCode0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference—0
Quantum Annealing for Robust Principal Component AnalysisCode0
MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework—0
Discovery of sustainable energy materials via the machine-learned material space—0
Entangled Mean Estimation in High-Dimensions—0
Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinatesCode0
A Stable Measure for Conditional Periodicity of Time Series using Persistent Homology—0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Unified dimensionality reduction techniques in chronic liver disease detection—0
Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing dataCode1
Revisiting PCA for time series reduction in temporal dimensionCode7
Neural Networks Perform Sufficient Dimension ReductionCode0
Generative Modeling: A Review—0
Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data—0
Bi-Sparse Unsupervised Feature SelectionCode0
Fast Multi-Group Gaussian Process Factor Models—0
A Unifying Family of Data-Adaptive Partitioning Algorithms—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
Dimension Reduction with Locally Adjusted GraphsCode4
Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm—0
ICA-based Resting-State Networks Obtained on Large Autism fMRI Dataset ABIDECode0
Progressive Monitoring of Generative Model Training Evolution—0
CSI Compression using Channel Charting—0
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian OptimizationCode0
Representation learning of dynamic networks—0
Alternative Channel Charting Techniques in Cellular Wireless Communications—0
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models—0
Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction—0
Deep Clustering using Dirichlet Process Gaussian Mixture and Alpha Jensen-Shannon Divergence Clustering Loss—0
Dimensionality Reduction Techniques for Global Bayesian Optimisation—0
When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities—0
A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place 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