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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 1501–1550 of 3304 papers

TitleStatusHype
Efficient L1-Norm Principal-Component Analysis via Bit Flipping—0
Jointly Modeling and Clustering Tensors in High Dimensions—0
Heteroscedastic Max-Min Distance Analysis—0
Heuristic Hyperparameter Choice for Image Anomaly Detection—0
HiCat: A Semi-Supervised Approach for Cell Type Annotation—0
A Kernelization-Based Approach to Nonparametric Binary Choice Models—0
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation—0
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning—0
Hierarchical Feature Hashing for Fast Dimensionality Reduction—0
Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations—0
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering—0
Efficient GPU implementation of randomized SVD and its applications—0
Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries—0
Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data Sets—0
Hierarchical Trait-State Model for Decoding Dyadic Social Interactions—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring—0
High dimensional Bayesian Optimization Algorithm for Complex System in Time Series—0
Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap—0
A Knowledge-based Representation for Cross-Language Document Retrieval and Categorization—0
Efficient Fair Principal Component Analysis—0
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
Are Latent Factor Regression and Sparse Regression Adequate?—0
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs—0
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables—0
Hyperspectral Images Classification and Dimensionality Reduction using spectral interaction and SVM classifier—0
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products—0
High-Order Low-Rank Tensors for Semantic Role Labeling—0
High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis—0
High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling—0
High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscripts—0
Efficient Design of Hardware-Enabled Reservoir Computing in FPGAs—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
An efficient real-time target tracking algorithm using adaptive feature fusion—0
Efficient Contextual Representation Learning Without Softmax Layer—0
Hodge Laplacians and Hodge Diffusion Maps—0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Horizontal and Vertical Attention in Transformers—0
Efficient channel charting via phase-insensitive distance computation—0
Brain Inspired Face Recognition: A Computational Framework—0
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?—0
How Do People Differ? A Social Media Approach—0
Deep Distributed Random Samplings for Supervised Learning: An Alternative to Random Forests?—0
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques—0
Human Activity Recognition using Smartphone—0
Human Activity Recognition using Smartphones—0
Human brain activity for machine attention—0
Human Face Recognition using Line Features—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