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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 276–300 of 3304 papers

TitleStatusHype
VizCV: AI-assisted visualization of researchers' publications tracks—0
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic DataCode0
Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian GeometryCode0
TSLFormer: A Lightweight Transformer Model for Turkish Sign Language Recognition Using Skeletal Landmarks—0
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in ChildrenCode0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Deep Diffusion MapsCode0
Latent Manifold Reconstruction and Representation with Topological and Geometrical RegularizationCode0
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class PredictionCode0
Bayesian full waveform inversion with sequential surrogate model refinement—0
A probabilistic view on Riemannian machine learning models for SPD matrices—0
Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics—0
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing—0
From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup—0
Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces—0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques—0
GiBy: A Giant-Step Baby-Step Classifier For Anomaly Detection In Industrial Control Systems—0
A Novel Parameter-Tying Theorem in Multi-Model Adaptive Systems: Systematic Approach for Efficient Model Selection—0
Subject-independent Classification of Meditative State from the Resting State using EEG—0
A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography—0
Unsupervised outlier detection to improve bird audio dataset labels—0
Interpretable non-linear dimensionality reduction using gaussian weighted linear transformationCode0
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling—0
An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm—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