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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 2401–2450 of 3304 papers

TitleStatusHype
Multi-Frequency Vector Diffusion Maps—0
Multi-Label Prediction via Sparse Infinite CCA—0
Multilayer bootstrap networks—0
Multi-Linear Kernel Regression and Imputation in Data Manifolds—0
Multilinear Kernel Regression and Imputation via Manifold Learning—0
Multilingual Summarization: Dimensionality Reduction and a Step Towards Optimal Term Coverage—0
Multi Loci Phylogenetic Analysis with Gene Tree Clustering—0
Multimodal and multicontrast image fusion via deep generative models—0
Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics—0
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data—0
Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data—0
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems—0
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version—0
Multiple testing for outlier detection in functional data—0
Multi-point dimensionality reduction to improve projection layout reliability—0
Multiscale Flow for Robust and Optimal Cosmological Analysis—0
Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data—0
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors—0
Multi-Space Evolutionary Search for Large-Scale Optimization—0
Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network—0
Multi-stage Antenna Selection for Adaptive Beamforming in MIMO Arrays—0
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning—0
Multi-Stage Feature Selection Based Intelligent Classifier for Classification of Incipient Stage Fire in Building—0
Multitask machine learning of collective variables for enhanced sampling of rare events—0
Multivariate Functional Regression via Nested Reduced-Rank Regularization—0
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies—0
Bayesian Feature Selection in Joint Quantile Time Series Analysis—0
Multivariate time-series modeling with generative neural networks—0
Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection—0
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment—0
MultiView Diffusion Maps—0
Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech—0
Multi-View Kernels for Low-Dimensional Modeling of Seismic Events—0
Multi-view Locality Low-rank Embedding for Dimension Reduction—0
Multi-view Reconstructive Preserving Embedding for Dimension Reduction—0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
NASARI: a Novel Approach to a Semantically-Aware Representation of Items—0
Natural data structure extracted from neighborhood-similarity graphs—0
Natural language processing for clusterization of genes according to their functions—0
Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction—0
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction—0
Near-Convex Archetypal Analysis—0
Nearest Neighbor CCP-Based Molecular Sequence Analysis—0
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications—0
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction—0
Near Optimal Sketching of Low-Rank Tensor Regression—0
Negative Dependence as a toolbox for machine learning : review and new developments—0
Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point-wise Anomaly Detection—0
Nested Diffusion Models Using Hierarchical Latent Priors—0
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design—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