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Found 4 papers, 1 papers with code
Semi-supervised Fréchet Regression
This paper explores the field of semi-supervised Fr\'echet regression, driven by the significant costs associated with obtaining non-Euclidean labels.
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs
To extract knowledge from unstructured text, we develop a Knowledge Extraction Module that includes a semi-supervised pipeline for entity extraction and entity normalization.
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions.
Ranked #2 on
Multiview Detection
on Wildtrack
(using extra training data)
Random Forest Weighted Local Fréchet Regression with Random Objects
Statistical analysis is increasingly confronted with complex data from metric spaces.
