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 2576–2600 of 3304 papers

TitleStatusHype
Online Multi-Label Classification: A Label Compression Method—0
Robust Subspace Clustering with Compressed Data—0
Canonical Correlation Analysis of Datasets with a Common Source Graph—0
Reservoir computing approaches for representation and classification of multivariate time seriesCode0
Sparse Reduced Rank Regression With Nonconvex Regularization—0
Stock Price Prediction using Principle Components—0
Low-Rank Boolean Matrix Approximation by Integer Programming—0
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge—0
Construction of neural networks for realization of localized deep learning—0
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach—0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding—0
Deep Continuous ClusteringCode0
An Analysis of the t-SNE Algorithm for Data Visualization—0
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis—0
A more globally accurate dimensionality reduction method using tripletsCode0
Deep Learning for Causal Inference—0
Autoencoding topology—0
Static and Dynamic Robust PCA and Matrix Completion: A Review—0
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid FlowCode0
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization—0
Improved Regularity Model-based EDA for Many-objective Optimization—0
Diffusion Maps meet Nyström—0
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction—0
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation—0
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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