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 351–400 of 3304 papers

TitleStatusHype
Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material—0
Augment on Manifold: Mixup Regularization with UMAP—0
A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy—0
Adapting Speaker Embeddings for Speaker Diarisation—0
Audio Visual Speech Recognition using Deep Recurrent Neural Networks—0
A Unified Framework for Optimization-Based Graph Coarsening—0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
Accelerated Search for Non-Negative Greedy Sparse Decomposition via Dimensionality Reduction—0
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals—0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution—0
A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place Recognition—0
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission—0
A Two-Stage Dual-Path Framework for Text Tampering Detection and Recognition—0
A predictive physics-aware hybrid reduced order model for reacting flows—0
A Hybrid Quantum Classical Pipeline for X Ray Based Fracture Diagnosis—0
Approximation of Functions over Manifolds: A Moving Least-Squares Approach—0
A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets—0
Accelerated partial separable model using dimension-reduced optimization technique for ultra-fast cardiac MRI—0
A Probabilistic Graph Coupling View of Dimension Reduction—0
A probabilistic view on Riemannian machine learning models for SPD matrices—0
A Process for Topic Modelling Via Word Embeddings—0
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks—0
A quantitative fusion strategy of stock picking and timing based on Particle Swarm Optimized-Back Propagation Neural Network and Multivariate Gaussian-Hidden Markov Model—0
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning—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
A Reconfigurable Low Power High Throughput Architecture for Deep Network Training—0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
A Knowledge-based Representation for Cross-Language Document Retrieval and Categorization—0
Are Latent Factor Regression and Sparse Regression Adequate?—0
Approximation Algorithms for Sparse Principal Component Analysis—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
A Review, Framework and R toolkit for Exploring, Evaluating, and Comparing Visualizations—0
A review of unsupervised learning in astronomy—0
Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures—0
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems—0
A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion—0
A Robust Approach for Securing Audio Classification Against Adversarial Attacks—0
Artificial Intelligence and Dimensionality Reduction: Tools for approaching future communications—0
A selective review of sufficient dimension reduction for multivariate response regression—0
Approximate Matrix Multiplication with Application to Linear Embeddings—0
A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling Cut With HGF for Dimensionality Reduction of Hyperspectral Images—0
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction—0
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding—0
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification—0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning—0
Split Semantic Detection in Sandplay Images—0
Accelerating hyperbolic t-SNE—0
Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning—0
A Hybrid Data-Driven Approach For Analyzing And Predicting Inpatient Length Of Stay In Health Centre—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