SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2226–2250 of 3304 papers

TitleStatusHype
Learning GPLVM with arbitrary kernels using the unscented transformationCode0
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality MetricsCode0
Obj-GloVe: Scene-Based Contextual Object Embedding—0
Size matters for OTC market makers: general results and dimensionality reduction techniques—0
Neural Dynamics Discovery via Gaussian Process Recurrent Neural NetworksCode0
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction—0
Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction—0
Understanding Memory Modules on Learning Simple Algorithms—0
An Improvement of PAA on Trend-Based Approximation for Time Series—0
Anomaly Subsequence Detection with Dynamic Local Density for Time Series—0
Tuning-Free Disentanglement via Projection—0
Learning Fair Representations for Kernel ModelsCode0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
Fisher and Kernel Fisher Discriminant Analysis: TutorialCode0
Screening Sinkhorn Algorithm for Regularized Optimal TransportCode0
Bayesian inverse regression for dimension reduction with small datasets—0
An unsupervised approach to Geographical Knowledge Discovery using street level and street network images—0
Estimating a Manifold from a Tangent Bundle Learner—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—0
Spaceland Embedding of Sparse Stochastic Graphs—0
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks—0
Classification of EEG Signals using Genetic Programming for Feature Construction—0
Sparse Representation of 3D Images for Piecewise Dimensionality Reduction with High Quality Reconstruction—0
Wavelet Based Dictionaries for Piecewise Dimensionality Reduction of ECG Signals—0
Integrative Factorization of Bidimensionally Linked MatricesCode0
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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