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 1301–1325 of 3304 papers

TitleStatusHype
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease—0
A Hybrid Approach for Binary Classification of Imbalanced Data—0
Active Learning with TensorBoard Projector—0
Covariance matrix preparation for quantum principal component analysis—0
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis—0
Applying Ricci Flow to High Dimensional Manifold Learning—0
Coupling the reduced-order model and the generative model for an importance sampling estimator—0
Applying Graph-based Keyword Extraction to Document Retrieval—0
A hierarchical approach with feature selection for emotion recognition from speech—0
Coupled Control Systems: Periodic Orbit Generation with Application to Quadrupedal Locomotion—0
Cost-informed dimensionality reduction for structural digital twin technologies—0
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs—0
Applying a random projection algorithm to optimize machine learning model for breast lesion classification—0
A Heath-Jarrow-Morton framework for energy markets: a pragmatic approach—0
Accelerated Canonical Polyadic Decomposition by Using Mode Reduction—0
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems—0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data—0
Cortical spatio-temporal dimensionality reduction for visual grouping—0
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images—0
Cooperative Thresholded Lasso for Sparse Linear Bandit—0
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics—0
Assessment of convolutional recurrent autoencoder network for learning wave propagation—0
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial—0
Applications of machine learning to predict seasonal precipitation for East Africa—0
Show:102550
← PrevPage 53 of 133Next →
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