SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 701–750 of 3304 papers

TitleStatusHype
Reduced-Rank Multi-objective Policy Learning and Optimization—0
GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes—0
DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders—0
Dynamical Mode Recognition of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches—0
Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems—0
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System—0
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental DataCode0
Contextual Categorization Enhancement through LLMs Latent-Space—0
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models—0
Machine Learning for Pre/Post Flight UAV Rotor Defect Detection Using Vibration Analysis—0
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave GlitchesCode0
Iterative Cluster Harvesting for Wafer Map Defect Patterns—0
Variational Bayesian surrogate modelling with application to robust design optimisation—0
Explainable Light-Weight Deep Learning Pipeline for Improved Drought Stress Identification—0
Quiver Laplacians and Feature SelectionCode0
Formation-Controlled Dimensionality Reduction—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
On Computational Modeling of Sleep-Wake Cycle—0
Variational Bayesian Optimal Experimental Design with Normalizing Flows—0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference—0
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling—0
Human Activity Recognition using Smartphones—0
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging—0
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds—0
On the reduction of Linear Parameter-Varying State-Space models—0
Preventing Model Collapse in Gaussian Process Latent Variable ModelsCode0
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object DetectionCode0
Comparison of Methods in Skin Pigment Decomposition—0
Enhancing Dimension-Reduced Scatter Plots with Class and Feature CentroidsCode0
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering—0
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach—0
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons—0
Representatividad Muestral en la Incertidumbre Simétrica Multivariada para la Selección de Atributos—0
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation ModelsCode0
Uncovering Temporal Patterns in Visualizations of High-Dimensional Data—0
S+t-SNE -- Bringing Dimensionality Reduction to Data StreamsCode0
Assessing the similarity of real matrices with arbitrary shapeCode0
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data—0
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets—0
Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspective—0
A Wasserstein perspective of Vanilla GANs—0
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems—0
Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain—0
Text Clustering with Large Language Model Embeddings—0
Curvature Augmented Manifold Embedding and LearningCode0
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings—0
Temporally-Consistent Koopman Autoencoders for Forecasting Dynamical Systems—0
Graph Regularized NMF with L20-norm for Unsupervised Feature Learning—0
Enhancing IoT Security Against DDoS Attacks through Federated Learning—0
Randomized Principal Component Analysis for Hyperspectral Image Classification—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