scholarly journals Person Re-Identification With Metric Learning Using Privileged Information

2018 ◽  
Vol 27 (2) ◽  
pp. 791-805 ◽  
Author(s):  
Xun Yang ◽  
Meng Wang ◽  
Dacheng Tao
Keyword(s):  
Metric Learning ◽  
Privileged Information ◽  
Learning Using Privileged Information

Learning with Privileged Information for Improved Target Classification

2014 ◽  
Vol 2 (3) ◽  
pp. 50-66 ◽  
Author(s):  
Roman Ilin ◽  
Simon Streltsov ◽  
Rauf Izmailov
Keyword(s):  
Classification Accuracy ◽  
Wide Area ◽  
Future Research ◽  
Target Classification ◽  
Privileged Information ◽  
Training Time ◽  
Additional Information ◽  
Motion Imagery ◽  
Learning Using Privileged Information

This work considers “Learning Using Privileged Information” (LUPI) paradigm. LUPI improves classification accuracy by incorporating additional information available at training time and not available during testing. In this contribution, the LUPI paradigm is tested on a Wide Area Motion Imagery (WAMI) dataset and on images from the Caltech 101 dataset. In both cases a consistent improvement in classification accuracy is observed. The results are discussed and the directions of future research are outlined.

LR-SVM+: Learning Using Privileged Information with Noisy Labels

2021 ◽  
pp. 1-1
Author(s):  
Zhengning Wu ◽  
Xiaobo Xia ◽  
Ruxin Wang ◽  
Jiatong Li ◽  
Jun Yu ◽  
...  
Keyword(s):  
Privileged Information ◽  
Learning Using Privileged Information ◽  
Noisy Labels

scholarly journals Learning using privileged information: SVM+ and weighted SVM

2014 ◽  
Vol 53 ◽  
pp. 95-108 ◽  
Author(s):  
Maksim Lapin ◽  
Matthias Hein ◽  
Bernt Schiele
Keyword(s):  
Privileged Information ◽  
Learning Using Privileged Information

Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach

2014 ◽  
Author(s):  
Ricardo Marcondes Marcacini ◽  
Marcos Aurelio Domingues ◽  
Eduardo R. Hruschka ◽  
Solange Oliveira Rezende
Keyword(s):  
Metric Learning ◽  
Document Clustering ◽  
Learning Approach ◽  
Privileged Information
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