Robust kernelized graph-based learning

2021 ◽  
Vol 110 ◽  
pp. 107628
Author(s):  
Supratim Manna ◽  
Jessy Rimaya Khonglah ◽  
Anirban Mukherjee ◽  
Goutam Saha
Keyword(s):  
Graph Based Learning

scholarly journals Adaptive edge weighting for graph-based learning algorithms

2016 ◽  
Vol 106 (2) ◽  
pp. 307-335 ◽  
Author(s):  
Masayuki Karasuyama ◽  
Hiroshi Mamitsuka
Keyword(s):  
Learning Algorithms ◽  
Edge Weighting ◽  
Graph Based Learning

Graph Based Learning for Hybrid Algorithm to Image Annotation

2011 ◽  
Vol 179-180 ◽  
pp. 685-690
Author(s):  
Xiao Hong Hu ◽  
Xiao Lei Wang ◽  
Xiu Ran Wei
Keyword(s):  
Machine Learning ◽  
Learning Community ◽  
Hybrid Algorithm ◽  
Image Annotation ◽  
Research Topic ◽  
Annotation Method ◽  
Active Research ◽  
Graph Based Learning ◽  
New Framework

Graph based learning has been an active research topic in machine learning community as well as many application areas including image annotation recently. In order to exploit the correlation between keywords and images, we proposed a novel image annotation method via graph based learning and semantic fusion to estimate the probability of keywords being the caption of an image, and present a new framework to solve the problem. The experiments over Corel images have shown that this approach outperforms other methods and is effective for image annotation.

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