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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 651–700 of 3304 papers

TitleStatusHype
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations—0
Compression supports low-dimensional representations of behavior across neural circuits—0
Compressive Feature Learning—0
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy—0
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations—0
Computational Graph Completion—0
Computational Techniques in Multispectral Image Processing: Application to the Syriac Galen Palimpsest—0
Computation of the Maximum Likelihood estimator in low-rank Factor Analysis—0
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila—0
A novel filter based on three variables mutual information for dimensionality reduction and classification of hyperspectral images—0
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test—0
A novel information gain-based approach for classification and dimensionality reduction of hyperspectral images—0
Computing Approximate _p Sensitivities—0
Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm—0
Decoding Imagined Speech and Computer Control using Brain Waves—0
Concept Drift Detection in Federated Networked Systems—0
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons—0
Concise Fuzzy Planar Embedding of Graphs: a Dimensionality Reduction Approach—0
Clustering based on Mixtures of Sparse Gaussian Processes—0
Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization—0
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark—0
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck—0
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information—0
Cone-Constrained Principal Component Analysis—0
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data—0
Consistent Representation Learning for High Dimensional Data Analysis—0
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses—0
Construction of neural networks for realization of localized deep learning—0
Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding—0
Contextual Bandits with Sparse Data in Web setting—0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems—0
Contextual Categorization Enhancement through LLMs Latent-Space—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models—0
Contrastive analysis for scatterplot-based representations of dimensionality reduction—0
Contrastive inverse regression for dimension reduction—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
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
Application of Fuzzy Clustering for Text Data Dimensionality Reduction—0
Convergence rates of Kernel Conjugate Gradient for random design regression—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
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction—0
Convolutional Autoencoders for Reduced-Order Modeling—0
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial—0
Assessment of convolutional recurrent autoencoder network for learning wave propagation—0
Cooperative Thresholded Lasso for Sparse Linear Bandit—0
A Fully Convolutional Network for MR Fingerprinting—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