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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 1551–1600 of 3304 papers

TitleStatusHype
Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Hybridization of filter and wrapper approaches for the dimensionality reduction and classification of hyperspectral images—0
Hybrid Kronecker Product Decomposition and Approximation—0
Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models—0
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit—0
Efficient Fair Principal Component Analysis—0
Hybrid Quantum-Classical Machine Learning for Sentiment Analysis—0
Hybrid Subspace Learning for High-Dimensional Data—0
Hybrid Two-Stage Reconstruction of Multiscale Subsurface Flow with Physics-informed Residual Connected Neural Operator—0
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation—0
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction—0
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques—0
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification—0
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data—0
Hyperspectral Images Classification and Dimensionality Reduction using spectral interaction and SVM classifier—0
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs—0
Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition—0
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution—0
Hypoelliptic Diffusion Maps I: Tangent Bundles—0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images—0
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)—0
I-Con: A Unifying Framework for Representation Learning—0
ICU Patient Deterioration prediction: a Data-Mining Approach—0
Estimation of a function of low local dimensionality by deep neural networks—0
Identifying Chemicals Through Dimensionality Reduction—0
Identifying Dominant Industrial Sectors in Market States of the S&P 500 Financial Data—0
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products—0
Identifying Layers Susceptible to Adversarial Attacks—0
Identifying manifolds underlying group motion in Vicsek agents—0
Deep-learning based measurement of planetary radial velocities in the presence of stellar variability—0
Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor—0
Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models—0
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques—0
"I know it when I see it". Visualization and Intuitive Interpretability—0
Efficient Design of Hardware-Enabled Reservoir Computing in FPGAs—0
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization—0
An efficient real-time target tracking algorithm using adaptive feature fusion—0
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Efficient Contextual Representation Learning Without Softmax Layer—0
Efficient channel charting via phase-insensitive distance computation—0
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network—0
Split Semantic Detection in Sandplay Images—0
Brain Inspired Face Recognition: A Computational Framework—0
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder—0
Impact of the composition of feature extraction and class sampling in medicare fraud detection—0
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons—0
Improving Problem Identification via Automated Log Clustering using Dimensionality Reduction—0
Efficient Binary Embedding of Categorical Data using BinSketch—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