SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1351–1400 of 3304 papers

TitleStatusHype
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—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
Geometry and dimensionality reduction of feature spaces in primary visual cortex—0
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses—0
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping—0
Construction of neural networks for realization of localized deep learning—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
Contextual Bandits with Sparse Data in Web setting—0
Global explainability of a deep abstaining classifier—0
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training—0
Contextual Categorization Enhancement through LLMs Latent-Space—0
Functional Inverse Regression in an Enlarged Dimension Reduction Space—0
Efficiently Computing Similarities to Private Datasets—0
Functional sufficient dimension reduction through information maximization with application to classification—0
Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models—0
Functorial Manifold Learning—0
Contrastive analysis for scatterplot-based representations of dimensionality reduction—0
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment—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
Contrastive Multivariate Singular Spectrum Analysis—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
Efficient Learning and Planning with Compressed Predictive States—0
Application of Symmetric Uncertainty and Mutual Information to Dimensionality Reduction and Classification of Hyperspectral Images—0
Gaze-Sensing LEDs for Head Mounted Displays—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—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
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability—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