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 2276–2300 of 3304 papers

TitleStatusHype
Online Distributed Estimation of Principal Eigenspaces—0
EasiCS: the objective and fine-grained classification method of cervical spondylosis dysfunction—0
Dimensionality Reduction for Tukey Regression—0
Explore intrinsic geometry of sleep dynamics and predict sleep stage by unsupervised learning techniques—0
ForestDSH: A Universal Hash Design for Discrete Probability Distributions—0
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning—0
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data—0
Learning Embeddings into Entropic Wasserstein SpacesCode0
Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices—0
Feature Selection and Feature Extraction in Pattern Analysis: A Literature ReviewCode0
Guided Visual Exploration of Relations in Data SetsCode0
Uncertainty-Aware Principal Component AnalysisCode0
Locally Differentially Private Naive Bayes Classification—0
Network Representation Learning: Consolidation and Renewed BearingCode0
Online Learning for Supervised Dimension Reduction—0
Locally Linear Unsupervised Feature Selection—0
Learning Entropic Wasserstein Embeddings—0
Representation-Constrained Autoencoders and an Application to Wireless Positioning—0
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models—0
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery—0
Detecting Adversarial Examples through Nonlinear Dimensionality ReductionCode0
Statistical feature embedding for heart sound classification—0
Recommending research articles to consumers of online vaccination informationCode0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace LearningCode0
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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