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Dimensionality Reduction

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

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Papers

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Showing 1851–1900 of 3304 papers

TitleStatusHype
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
Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement—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
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices—0
From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup—0
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning—0
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping—0
From which world is your graph?—0
From which world is your graph—0
Full-dimensional characterisation of time-warped spike-time stimulus-response distribution geometries—0
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data—0
Functional Inverse Regression in an Enlarged Dimension Reduction Space—0
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data—0
Functional sufficient dimension reduction through information maximization with application to classification—0
Functorial Manifold Learning—0
Fusing Vector Space Models for Domain-Specific Applications—0
Fusion of heterogeneous bands and kernels in hyperspectral image processing—0
Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery—0
Fuzzy Pooling—0
Fuzzy Pooling—0
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning—0
Game Theory Meets Statistical Mechanics in Deep Learning Design—0
GAN-EM: GAN based EM learning framework—0
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling—0
GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes—0
Gauge-optimal approximate learning for small data classification problems—0
Gaussian Determinantal Processes: a new model for directionality in data—0
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection—0
Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces—0
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Gaze-Sensing LEDs for Head Mounted Displays—0
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach—0
Bayesian Inference over the Stiefel Manifold via the Givens Representation—0
Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search—0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
Generalizable Spectral Embedding with an Application to UMAP—0
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition—0
Generalized BackPropagation, Étude De Cas: Orthogonality—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