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 201–225 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
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
Hybrid Two-Stage Reconstruction of Multiscale Subsurface Flow with Physics-informed Residual Connected Neural Operator—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
Risk Analysis of Flowlines in the Oil and Gas Sector: A GIS and Machine Learning ApproachCode0
On the dimension of pullback attractors in recurrent neural networks—0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Enhancing UAV Path Planning Efficiency Through Accelerated Learning—0
Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT—0
Refusal Behavior in Large Language Models: A Nonlinear PerspectiveCode0
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
Discovery of sustainable energy materials via the machine-learned material space—0
MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework—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
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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