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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

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Showing 1401–1425 of 3304 papers

TitleStatusHype
Semi-Supervised Graph Learning Meets Dimensionality ReductionCode0
Evolution is Driven by Natural Autoencoding: Reframing Species, Interaction Codes, Cooperation, and Sexual Reproduction—0
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection—0
Dimensionality Reduction and Wasserstein Stability for Kernel Regression—0
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients—0
Sparse random hypergraphs: Non-backtracking spectra and community detectionCode0
Dimensionality Reduction and Prioritized Exploration for Policy Search—0
Bayesian Calibration for Activity Based Models—0
Diffusion Maps : Using the Semigroup Property for Parameter Tuning—0
Uniform Approximations for Randomized Hadamard Transforms with Applications—0
Split Semantic Detection in Sandplay Images—0
Are Latent Factor Regression and Sparse Regression Adequate?—0
On genetic programming representations and fitness functions for interpretable dimensionality reductionCode0
On the Robustness of CountSketch to Adaptive Inputs—0
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains—0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data—0
Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning—0
Exploring the Unfairness of DP-SGD Across Settings—0
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence—0
Thermal hand image segmentation for biometric recognition—0
Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering—0
Schrödinger Risk Diversification Portfolio—0
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis—0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
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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