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 1301–1350 of 3304 papers

TitleStatusHype
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease—0
A Hybrid Approach for Binary Classification of Imbalanced Data—0
Active Learning with TensorBoard Projector—0
Covariance matrix preparation for quantum principal component analysis—0
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis—0
Applying Ricci Flow to High Dimensional Manifold Learning—0
Coupling the reduced-order model and the generative model for an importance sampling estimator—0
Applying Graph-based Keyword Extraction to Document Retrieval—0
A hierarchical approach with feature selection for emotion recognition from speech—0
Coupled Control Systems: Periodic Orbit Generation with Application to Quadrupedal Locomotion—0
Cost-informed dimensionality reduction for structural digital twin technologies—0
Cost-efficient Gaussian Tensor Network Embeddings for Tensor-structured Inputs—0
Applying a random projection algorithm to optimize machine learning model for breast lesion classification—0
A Heath-Jarrow-Morton framework for energy markets: a pragmatic approach—0
Accelerated Canonical Polyadic Decomposition by Using Mode Reduction—0
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems—0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data—0
Cortical spatio-temporal dimensionality reduction for visual grouping—0
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images—0
Cooperative Thresholded Lasso for Sparse Linear Bandit—0
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics—0
Assessment of convolutional recurrent autoencoder network for learning wave propagation—0
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial—0
Applications of machine learning to predict seasonal precipitation for East Africa—0
Convolutional Autoencoders for Reduced-Order Modeling—0
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction—0
Application Research On Real-Time Perception Of Device Performance Status—0
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition—0
A Cross Entropy test allows quantitative statistical comparison of t-SNE and UMAP representations—0
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs—0
Application of Symmetric Uncertainty and Mutual Information to Dimensionality Reduction and Classification of Hyperspectral Images—0
Convergence rates of Kernel Conjugate Gradient for random design regression—0
Application of Fuzzy Clustering for Text Data Dimensionality Reduction—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
Contrastive Multivariate Singular Spectrum Analysis—0
Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents—0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
A Critical Note on the Evaluation of Clustering Algorithms—0
A Category Space Approach to Supervised Dimensionality Reduction—0
Contrastive inverse regression for dimension reduction—0
Contrastive analysis for scatterplot-based representations of dimensionality reduction—0
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment—0
Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models—0
Continuum directions for supervised dimension reduction—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
Contextual Categorization Enhancement through LLMs Latent-Space—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—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