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 526–550 of 3304 papers

TitleStatusHype
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface—0
GleanVec: Accelerating vector search with minimalist nonlinear dimensionality reduction—0
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals—0
TL-PCA: Transfer Learning of Principal Component Analysis—0
Emulators for stellar profiles in binary population modeling—0
Enhancing Affinity Propagation for Improved Public Sentiment InsightsCode0
Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property PredictionCode0
Fast Data-independent KLT Approximations Based on Integer Functions—0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition—0
Learning Low-Level Causal Relations using a Simulated Robotic ArmCode0
Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees—0
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility—0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex—0
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI—0
Learning Image Derived PDE-Phenotypes from fMRI Data—0
ESPACE: Dimensionality Reduction of Activations for Model Compression—0
Random-projection ensemble dimension reductionCode0
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability—0
SHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion—0
On metric choice in dimension reduction for Fréchet regression—0
Pseudo-Non-Linear Data Augmentation via Energy Minimization—0
A Generalized Mean Approach for Distributed-PCA—0
Knowledge Discovery using Unsupervised Cognition—0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI—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