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Dimensionality Reduction

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

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Papers

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Showing 1501–1550 of 3304 papers

TitleStatusHype
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data—0
Jointly Modeling and Clustering Tensors in High Dimensions—0
A Correspondence Analysis Framework for Author-Conference Recommendations—0
Heuristic Hyperparameter Choice for Image Anomaly Detection—0
A case study : Influence of Dimension Reduction on regression trees-based Algorithms -Predicting Aeronautics Loads of a Derivative Aircraft—0
FlowBERT: Prompt-tuned BERT for variable flow field prediction—0
Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows—0
Fourier analysis perspective for sufficient dimension reduction problem—0
Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization—0
Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations—0
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering—0
Foundations of Coupled Nonlinear Dimensionality Reduction—0
Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries—0
Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data Sets—0
Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement—0
Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach—0
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring—0
High dimensional Bayesian Optimization Algorithm for Complex System in Time Series—0
Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture—0
Formation-Controlled Dimensionality Reduction—0
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach—0
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables—0
Forensic Analysis of Video Files Using Metadata—0
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)—0
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons—0
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Forecastable Component Analysis (ForeCA)—0
Concept Drift Detection in Federated Networked Systems—0
High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis—0
Flexible sampling of discrete data correlations without the marginal distributions—0
High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscripts—0
A Novel Parameter-Tying Theorem in Multi-Model Adaptive Systems: Systematic Approach for Efficient Model Selection—0
Flashlight Search Medial Axis: A Pixel-Free Pore-Network Extraction Algorithm—0
Fitting a Simplicial Complex using a Variation of k-means—0
History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization—0
Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm—0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Computing Approximate _p Sensitivities—0
A Novel method for Schizophrenia classification using nonlinear features and neural networks—0
A Graph Based Raman Spectral Processing Technique for Exosome Classification—0
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?—0
First-order bifurcation detection for dynamic complex networks—0
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces—0
Firm Heterogeneity and Macroeconomic Fluctuations: a Functional VAR model—0
Human Activity Recognition using Smartphone—0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test—0
Human brain activity for machine attention—0
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images—0
Firing Rate Dynamics in Recurrent Spiking Neural Networks with Intrinsic and Network Heterogeneity—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