SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 401–450 of 3304 papers

TitleStatusHype
Negative Dependence as a toolbox for machine learning : review and new developments—0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
A Flag Decomposition for Hierarchical DatasetsCode0
Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows—0
Study on Downlink CSI compression: Are Neural Networks the Only Solution?—0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution—0
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies—0
Geometric Machine Learning on EEG Signals—0
Primary Care Diagnoses as a Reliable Predictor for Orthopedic Surgical Interventions—0
Finding Pegasus: Enhancing Unsupervised Anomaly Detection in High-Dimensional Data using a Manifold-Based Approach—0
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methodsCode0
Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds—0
Minimax-Optimal Dimension-Reduced Clustering for High-Dimensional Nonspherical Mixtures—0
Shuttle Between the Instructions and the Parameters of Large Language Models—0
Displacement-Sparse Neural Optimal Transport—0
Physically Interpretable Representation and Controlled Generation for Turbulence Data—0
Principal Components for Neural Network InitializationCode0
Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality ReductionCode0
A Hybrid Data-Driven Approach For Analyzing And Predicting Inpatient Length Of Stay In Health Centre—0
DeepFRC: An End-to-End Deep Learning Model for Functional Registration and ClassificationCode0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction—0
Data-Efficient Machine Learning Potentials via Difference Vectors Based on Local Atomic Environments—0
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
Low-Dimensional Representation-Driven TSK Fuzzy System for Feature Selection—0
Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA—0
Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach—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
On the dimension of pullback attractors in recurrent neural networks—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
Generalizable Spectral Embedding with an Application to UMAP—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
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
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Unified dimensionality reduction techniques in chronic liver disease detection—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