SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1151–1200 of 3304 papers

TitleStatusHype
A Low Effort Approach to Structured CNN Design Using PCA—0
A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images—0
Deep Sufficient Representation Learning via Mutual Information—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks—0
DeepRT: deep learning for peptide retention time prediction in proteomics—0
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective—0
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study—0
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets—0
A study of the classification of low-dimensional data with supervised manifold learning—0
Adaptive Randomized Dimension Reduction on Massive Data—0
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients—0
Generalizing Correspondence Analysis for Applications in Machine Learning—0
A study of semantic augmentation of word embeddings for extractive summarization—0
Deep neural networks for the evaluation and design of photonic devices—0
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows—0
A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction—0
Deep Monocular Visual Odometry for Ground Vehicle—0
Deep matrix factorizations—0
AstroM^3: A self-supervised multimodal model for astronomy—0
Deep Manifold Transformation for Nonlinear Dimensionality Reduction—0
Deep Manifold Computing and Visualization Using Elastic Locally Isometric Smoothness—0
Asteroids co-orbital motion classification based on Machine Learning—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification—0
A Statistical Approach to Increase Classification Accuracy in Supervised Learning Algorithms—0
A Light weight and Hybrid Deep Learning Model based Online Signature Verification—0
Deep Learning Multidimensional Projections—0
A Stable Measure for Conditional Periodicity of Time Series using Persistent Homology—0
Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning—0
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)—0
2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
Deep Learning in Earthquake Engineering: A Comprehensive Review—0
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network—0
Split Semantic Detection in Sandplay Images—0
Deep Learning for GWP Prediction: A Framework Using PCA, Quantile Transformation, and Ensemble Modeling—0
Deep Learning for Efficient GWAS Feature Selection—0
Deep Learning for Causal Inference—0
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification—0
Algorithms for Approximate Subtropical Matrix Factorization—0
Deep-learning based measurement of planetary radial velocities in the presence of stellar variability—0
Deep Learning Architecture for Motor Imaged Words—0
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding—0
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures—0
Estimation of a function of low local dimensionality by deep neural networks—0
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction—0
Algorithmic Stability and Uniform Generalization—0
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods—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