SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2326–2350 of 3304 papers

TitleStatusHype
Manifold Partition Discriminant Analysis—0
Manopt, a Matlab toolbox for optimization on manifolds—0
Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas—0
Markov Boundary Discovery with Ridge Regularized Linear Models—0
Massively-Parallel Heat Map Sorting and Applications To Explainable Clustering—0
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive—0
Mathematical Analysis on Out-of-Sample Extensions—0
Matrix Decomposition on Graphs: A Functional View—0
Matrix Factorization for Inferring Associations and Missing Links—0
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras—0
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling—0
Matrix Product Operator Restricted Boltzmann Machines—0
Maximally Correlated Principal Component Analysis—0
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data—0
Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data—0
Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation—0
Maximum Margin Principal Components—0
May the force be with you—0
Measures of Entropy from Data Using Infinitely Divisible Kernels—0
Measuring and modeling the motor system with machine learning—0
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms—0
Measuring inter-cluster similarities with Alpha Shape TRIangulation in loCal Subspaces (ASTRICS) facilitates visualization and clustering of high-dimensional data—0
Towards Measuring Place Function Similarity at Fine Spatial Granularity with Trajectory Embedding—0
Measuring the Data—0
Mechanisms of dimensionality reduction and decorrelation in deep neural networks—0
Show:102550
← PrevPage 94 of 133Next →
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