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Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3051–3100 of 3304 papers

TitleStatusHype
Learning Fair Representations for Kernel ModelsCode0
Learning Feature Sparse Principal SubspaceCode0
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature RepresentationCode0
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring SignalsCode0
Number Representations in LLMs: A Computational Parallel to Human PerceptionCode0
Feature Selection and Feature Extraction in Pattern Analysis: A Literature ReviewCode0
Vector Diffusion Maps and the Connection LaplacianCode0
Learning from the past, predicting the statistics for the future, learning an evolving systemCode0
Deep Continuous ClusteringCode0
Numerical simulation, clustering and prediction of multi-component polymer precipitationCode0
SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel LearningCode0
Learning Integral Representations of Gaussian ProcessesCode0
Random-projection ensemble dimension reductionCode0
Simple and Effective Dimensionality Reduction for Word EmbeddingsCode0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Objective discovery of dominant dynamical processes with intelligible machine learningCode0
Random Projection in Deep Neural NetworksCode0
Featurizing Koopman Mode Decomposition For Robust ForecastingCode0
Whitening-Free Least-Squares Non-Gaussian Component AnalysisCode0
Convergent autoencoder approximation of low bending and low distortion manifold embeddingsCode0
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal EmbeddingsCode0
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methodsCode0
TriMap: Large-scale Dimensionality Reduction Using TripletsCode0
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology PatchesCode0
Learning Low-Level Causal Relations using a Simulated Robotic ArmCode0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly DetectionCode0
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral ImageryCode0
FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector BundlesCode0
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopyCode0
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental DataCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
O(k)-Equivariant Dimensionality Reduction on Stiefel ManifoldsCode0
Super-Resolution Neural OperatorCode0
Auto-Encoding Variational Bayes for Inferring Topics and VisualizationCode0
Learning Neural Representations of Human Cognition across Many fMRI StudiesCode0
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and EmbeddingCode0
Simplicial RegularizationCode0
Estimating a Brain Network Predictive of Stress and Genotype with Supervised AutoencodersCode0
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional RegressionCode0
Autoencoded Image Compression for Secure and Fast TransmissionCode0
Fisher and Kernel Fisher Discriminant Analysis: TutorialCode0
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese NetworksCode0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank EstimationCode0
RaSE: A Variable Screening Framework via Random Subspace EnsemblesCode0
FLeNS: Federated Learning with Enhanced Nesterov-Newton SketchCode0
Throttling Malware Families in 2DCode0
Decentralized State Estimation In A Dimension-Reduced Linear RegressionCode0
Learning sparse codes from compressed representations with biologically plausible local wiring constraintsCode0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition ManifoldsCode0
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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