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Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 3151–3175 of 3304 papers

TitleStatusHype
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive FilteringCode0
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Adaptive Mixtures of Factor AnalyzersCode0
[Re] Explaining Groups of Points in Low-Dimensional RepresentationsCode0
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender SystemsCode0
Refusal Behavior in Large Language Models: A Nonlinear PerspectiveCode0
Curvature Augmented Manifold Embedding and LearningCode0
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clusteringCode0
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian OptimizationCode0
VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region AnnotationCode0
On the Estimation of Entropy in the FastICA AlgorithmCode0
Supervised multiway factorizationCode0
SMSSVD - SubMatrix Selection Singular Value DecompositionCode0
Local Explanation of Dimensionality ReductionCode0
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution DataCode0
Generalized Image Reconstruction over T-AlgebraCode0
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion MapsCode0
Generalized Penalty for Circular Coordinate RepresentationCode0
On the Noise Sensitivity of the Randomized SVDCode0
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observationsCode0
Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality ReductionCode0
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class PredictionCode0
Supervised Stochastic Neighbor Embedding Using Contrastive LearningCode0
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized methodCode0
Solving Interpretable Kernel Dimension ReductionCode0
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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