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Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1026–1050 of 3304 papers

TitleStatusHype
Introduction to Facial Micro Expressions Analysis Using Color and Depth Images: A Matlab Coding Approach (Second Edition, 2023)Code0
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment—0
Vision Transformer with Attention Map Hallucination and FFN Compaction—0
Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction—0
Enhanced Sampling with Machine Learning: A Review—0
Bayesian Non-linear Latent Variable Modeling via Random Fourier FeaturesCode0
Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods—0
On Selecting Distance Metrics in n-Dimensional Normed Vector Spaces of Cells: A Novel Criterion and Similarity Measure Towards Efficient and Accurate Omics Analysis—0
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High DimensionsCode0
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities—0
G-invariant diffusion maps—0
Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula—0
A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction—0
Differentially private sliced inverse regression in the federated paradigm—0
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data AnalysisCode0
Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder—0
Multiscale Flow for Robust and Optimal Cosmological Analysis—0
Identifying Shared Decodable Concepts in the Human Brain Using Image-Language Foundation Models—0
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving—0
Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization—0
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization—0
ShaRP: Shape-Regularized Multidimensional ProjectionsCode0
Dictionary Learning under Symmetries via Group Representations—0
Label Embedding via Low-Coherence Matrices—0
Dimensionality Reduction for General KDE Mode Finding—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