SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2826–2850 of 3304 papers

TitleStatusHype
A metric on directed graphs and Markov chains based on hitting probabilitiesCode0
A Quotient Space Formulation for Generative Statistical Analysis of Graphical DataCode0
Principal Component Analysis Using Structural Similarity Index for ImagesCode0
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognitionCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Effective Dimensionality Reduction for Word EmbeddingsCode0
In search of the weirdest galaxies in the UniverseCode0
Principal Components for Neural Network InitializationCode0
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation ModelsCode0
Efficient Algorithms for t-distributed Stochastic Neighborhood EmbeddingCode0
Scikit-learn: Machine Learning in PythonCode0
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace LearningCode0
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival PredictionCode0
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space AlignmentCode0
Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinatesCode0
State Representation Learning Using an Unbalanced AtlasCode0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Screening Sinkhorn Algorithm for Regularized Optimal TransportCode0
Visualization of High-dimensional Scalar Functions Using Principal ParameterizationsCode0
DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI TractographyCode0
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing DataCode0
Integrative Factorization of Bidimensionally Linked MatricesCode0
Secure Face Matching Using Fully Homomorphic EncryptionCode0
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSPCode0
Interactive Dimensionality Reduction for Comparative AnalysisCode0
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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