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 1301–1350 of 3304 papers

TitleStatusHype
Feature Space Hijacking Attacks against Differentially Private Split Learning—0
Feature Space Sketching for Logistic Regression—0
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations—0
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data—0
Privacy-Preserving Federated Deep Clustering based on GAN—0
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis—0
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
Federated Multilinear Principal Component Analysis with Applications in Prognostics—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction—0
GAN-EM: GAN based EM learning framework—0
FFTLasso: Large-Scale LASSO in the Fourier Domain—0
Computational Graph Completion—0
GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes—0
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—0
Finding Pegasus: Enhancing Unsupervised Anomaly Detection in High-Dimensional Data using a Manifold-Based Approach—0
Finding Real-World Orbital Motion Laws from Data—0
Finding Rule-Interpretable Non-Negative Data Representation—0
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction—0
A novel filter based on three variables mutual information for dimensionality reduction and classification of hyperspectral images—0
Firing Rate Dynamics in Recurrent Spiking Neural Networks with Intrinsic and Network Heterogeneity—0
Firm Heterogeneity and Macroeconomic Fluctuations: a Functional VAR model—0
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces—0
First-order bifurcation detection for dynamic complex networks—0
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images—0
Computing Approximate _p Sensitivities—0
A Novel method for Schizophrenia classification using nonlinear features and neural networks—0
Fitting a Simplicial Complex using a Variation of k-means—0
Flashlight Search Medial Axis: A Pixel-Free Pore-Network Extraction Algorithm—0
Bayesian Inference over the Stiefel Manifold via the Givens Representation—0
Flexible sampling of discrete data correlations without the marginal distributions—0
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
Forecastable Component Analysis (ForeCA)—0
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)—0
Forensic Analysis of Video Files Using Metadata—0
Formation-Controlled Dimensionality Reduction—0
Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture—0
Efficiently Computing Similarities to Private Datasets—0
Foundations of Coupled Nonlinear Dimensionality Reduction—0
Fourier analysis perspective for sufficient dimension reduction problem—0
Fourier-Invertible Neural Encoder (FINE) for Homogeneous Flows—0
Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension—0
FRANS: Automatic Feature Extraction for Time Series Forecasting—0
FRE: A Fast Method For Anomaly Detection And Segmentation—0
Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects—0
Free Lunch for Gait Recognition: A Novel Relation Descriptor—0
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain—0
Efficient Learning and Planning with Compressed Predictive States—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
Show:102550
← PrevPage 27 of 67Next →
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