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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 2651–2700 of 3304 papers

TitleStatusHype
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective—0
Bidirectional deep-readout echo state networksCode0
A New Method for Performance Analysis in Nonlinear Dimensionality Reduction—0
Evaluating deep variational autoencoders trained on pan-cancer gene expression—0
Sparse quadratic classification rules via linear dimension reductionCode0
Hand Gesture Recognition with Leap Motion—0
Dimension Reduction of High-Dimensional Datasets Based on Stepwise SVM—0
Dimension Estimation Using Random Connection Models—0
Bayesian model and dimension reduction for uncertainty propagation: applications in random media—0
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations—0
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA—0
From which world is your graph?—0
The neighborhood lattice for encoding partial correlations in a Hilbert spaceCode0
Approximation of Functions over Manifolds: A Moving Least-Squares Approach—0
Sampling and multilevel coarsening algorithms for fast matrix approximations—0
Learning Neural Representations of Human Cognition across Many fMRI StudiesCode0
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics—0
Stochastic variance reduced multiplicative update for nonnegative matrix factorization—0
Dimensionality reduction methods for molecular simulations—0
Automatic Differentiation in PyTorchCode0
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network—0
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets—0
Bayesian Inference over the Stiefel Manifold via the Givens Representation—0
SMSSVD - SubMatrix Selection Singular Value DecompositionCode0
Elliptical modeling and pattern analysis for perturbation models and classfication—0
Deep Triphone Embedding Improves Phoneme Recognition—0
Learning Wasserstein EmbeddingsCode1
Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings—0
S-Isomap++: Multi Manifold Learning from Streaming Data—0
Fair Kernel Learning—0
Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model—0
VAMPnets: Deep learning of molecular kineticsCode0
Information-Theoretic Representation Learning for Positive-Unlabeled Classification—0
Dimensionality Reduction Ensembles—0
Regression-aware decompositions—0
Mechanisms of dimensionality reduction and decorrelation in deep neural networks—0
Sparse Exact PGA on Riemannian Manifolds—0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning—0
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping—0
Influ\^encia de T\'ecnicas N\~ao-supervisionadas de Redu \~ao de Dimensionalidade para Organiza \~ao Flex\' de Documentos (The Unsupervised Dimensionality Reduction Weight on Flexible Document Organization)[In Portuguese]—0
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case—0
Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature SelectionCode0
Tensor-Based Classifiers for Hyperspectral Data Analysis—0
On Principal Components Regression, Random Projections, and Column Subsampling—0
Lazy stochastic principal component analysisCode0
Near Optimal Sketching of Low-Rank Tensor Regression—0
Bayesian nonparametric Principal Component Analysis—0
Representation Learning on Graphs: Methods and Applications—0
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems—0
Transform Invariant Auto-encoder—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