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Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–975 of 3304 papers

TitleStatusHype
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation—0
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck—0
Predicting Fatigue Crack Growth via Path Slicing and Re-WeightingCode0
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles—0
BDEC:Brain Deep Embedded Clustering model—0
Robust Nonlinear Reduced-Order Model Predictive Control—0
Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension—0
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck—0
Non-linear dimension reduction in factor-augmented vector autoregressions—0
GroupEnc: encoder with group loss for global structure preservation—0
Information Processing by Neuron Populations in the Central Nervous System: Mathematical Structure of Data and Operations—0
Design of Recognition and Evaluation System for Table Tennis Players' Motor Skills Based on Artificial Intelligence—0
Are We Using Autoencoders in a Wrong Way?Code0
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognitionCode0
Online Adaptive Mahalanobis Distance Estimation—0
Why do universal adversarial attacks work on large language models?: Geometry might be the answer—0
Dimensionality Reduction Using pseudo-Boolean polynomials For Cluster Analysis—0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
Sparse Models for Machine Learning—0
Class-constrained t-SNE: Combining Data Features and Class ProbabilitiesCode0
Is Deep Learning Network Necessary for Image Generation?—0
The Potential of Quantum Techniques for Stock Price Prediction—0
Free Lunch for Gait Recognition: A Novel Relation Descriptor—0
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction—0
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and InterpretationCode0
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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