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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 301–350 of 3304 papers

TitleStatusHype
A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing—0
Accuracy and Privacy Evaluations of Collaborative Data Analysis—0
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data—0
A Data Quarantine Model to Secure Data in Edge Computing—0
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems—0
Accelerating Vision Transformers Based on Heterogeneous Attention Patterns—0
A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data—0
Alternative Channel Charting Techniques in Cellular Wireless Communications—0
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction—0
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study—0
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction—0
Alternating Co-Quantization for Cross-Modal Hashing—0
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
A Dashboard to Analysis and Synthesis of Dimensionality Reduction Methods in Remote Sensing—0
Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy—0
A study of the classification of low-dimensional data with supervised manifold learning—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
A survey of dimensionality reduction techniques—0
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients—0
A Low Effort Approach to Structured CNN Design Using PCA—0
2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA—0
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks—0
Adaptive Randomized Dimension Reduction on Massive Data—0
AstroM^3: A self-supervised multimodal model for astronomy—0
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction—0
A Light weight and Hybrid Deep Learning Model based Online Signature Verification—0
Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning—0
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)—0
Asteroids co-orbital motion classification based on Machine Learning—0
A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction—0
Accelerating hyperbolic t-SNE—0
Algorithms for Approximate Subtropical Matrix Factorization—0
2D+3D facial expression recognition via embedded tensor manifold regularization—0
Algorithmic Stability and Uniform Generalization—0
Algorithm-Agnostic Interpretations for Clustering—0
Adaptive Metric Dimensionality Reduction—0
A Stable Measure for Conditional Periodicity of Time Series using Persistent Homology—0
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference—0
Adaptive Locally Linear Embedding—0
Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices—0
Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures—0
A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection—0
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems—0
Split Semantic Detection in Sandplay Images—0
A Statistical Approach to Increase Classification Accuracy in Supervised Learning Algorithms—0
A study of semantic augmentation of word embeddings for extractive summarization—0
A survey of dimensionality reduction techniques based on random projection—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