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 2251–2300 of 3304 papers

TitleStatusHype
CASS: Cross Adversarial Source Separation via Autoencoder—0
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces—0
Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics—0
Fusion of heterogeneous bands and kernels in hyperspectral image processing—0
Multi-view Locality Low-rank Embedding for Dimension Reduction—0
Online Distributed Estimation of Principal Eigenspaces—0
Comparison of Machine Learning Models in Food Authentication Studies—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
Locally Differentially Private Naive Bayes Classification—0
Uncertainty-Aware Principal Component AnalysisCode0
Network Representation Learning: Consolidation and Renewed BearingCode0
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery—0
Locally Linear Unsupervised Feature Selection—0
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models—0
Representation-Constrained Autoencoders and an Application to Wireless Positioning—0
Online Learning for Supervised Dimension Reduction—0
Learning Entropic Wasserstein Embeddings—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
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace LearningCode0
Deep Embedded SOM: Joint Representation Learning and Self-OrganizationCode0
A Robust Approach for Securing Audio Classification Against Adversarial Attacks—0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization—0
Local Deep-Feature Alignment for Unsupervised Dimension Reduction—0
SCANN: Synthesis of Compact and Accurate Neural Networks—0
Multi-stage Antenna Selection for Adaptive Beamforming in MIMO Arrays—0
Privacy-Enhancing Context Authentication from Location-Sensitive Data—0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition ManifoldsCode0
Text Classification Algorithms: A SurveyCode1
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization—0
Kernel methods for detecting coherent structures in dynamical data—0
Estimation of Cross-Sectional Dependence in Large Panels—0
GraphTSNE: A Visualization Technique for Graph-Structured DataCode0
A framework for streamlined statistical prediction using topic models—0
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers—0
Beyond the Nucleus: Cytoplasmic Dominance in Follicular Thyroid Carcinoma Detection Using Single-Cell Raman Imaging Across Multiple DevicesCode0
Restricted Isometry Property under High Correlations—0
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance MatricesCode0
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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