SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 251300 of 3304 papers

TitleStatusHype
Enhancing Affinity Propagation for Improved Public Sentiment InsightsCode0
Analyzing scRNA-seq data by CCP-assisted UMAP and t-SNECode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
Enhancing Sufficient Dimension Reduction via Hellinger CorrelationCode0
Empirical likelihood approach for high-dimensional moment restrictions with dependent dataCode0
Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set MethodCode0
ECG Beats Fast Classification Base on Sparse DictionariesCode0
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in PipesCode0
Effective Dimensionality Reduction for Word EmbeddingsCode0
Earthmover-based manifold learning for analyzing molecular conformation spacesCode0
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation ModelsCode0
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and CheckingCode0
A Deep Learning Framework for Assessing Physical Rehabilitation ExercisesCode0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
DysLexML: Screening Tool for Dyslexia Using Machine LearningCode0
Efficient Algorithms for t-distributed Stochastic Neighborhood EmbeddingCode0
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and ClassificationCode0
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective OptimizationCode0
Distributionally Robust Optimization with Markovian DataCode0
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly DetectionCode0
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object DetectionCode0
Distributed Lyapunov Functions for Nonlinear NetworksCode0
A more globally accurate dimensionality reduction method using tripletsCode0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot LayoutsCode0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
A Mixture of Matrix Variate Bilinear Factor AnalyzersCode0
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
A method to integrate and classify normal distributionsCode0
A DEEP ADVERSARIAL LEARNING METHODOLOGY FOR DESIGNING MICROSTRUCTURAL MATERIAL SYSTEMSCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Reducing the dimensionality of data using tempered distributionsCode0
Dimension Reduction and MARSCode0
Dimension Reduction for Data with Heterogeneous MissingnessCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial PoolerCode0
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanismsCode0
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer ArchitecturesCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Dimensionality reduction, regularization, and generalization in overparameterized regressionsCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation ApproachCode0
ALPCAHUS: Subspace Clustering for Heteroscedastic DataCode0
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic DataCode0
Differentiable VQ-VAE's for Robust White Matter Streamline EncodingsCode0
Dimensionality Reduction for Binary Data through the Projection of Natural ParametersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified