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Contextual image classification

Contextual image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information… 
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Papers overview

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2020
2020
Database forensics presents a set of unique challenges and these may contribute to the reason for the lack of available tools and… 
2019
2019
Few-shot Learning aims to recognize new concepts from a small number of training examples. Recent work mainly tackle this problem… 
2016
2016
Contextual image classification aims at considering the information about nearby samples in the learning process in order to… 
2013
2013
The main idea of this paper is to integrate the non-contextual support vector machines (SVM) classifiers with Markov random… 
2009
2009
In Bayesian image processing Maximum a Posterior (MAP) Probability is achieved by minimizing the global posterior energy, where… 
2006
2006
  • R. Nishii
  • 2006
  • Corpus ID: 31460394
Spatial AdaBoost proposed by Nishii and Eguchi (TGRS, 2005) is a supervised image classification method. It is a voting machine… 
2005
2005
  • R. NishiiS. Eguchi
  • 2005
  • Corpus ID: 17352847
Spatial AdaBoost proposed by Nishii and Eguchi (TGRS 2005) is a contextual supervised classifier of land-cover categories of… 
Highly Cited
2003
Highly Cited
2003
Markov random fields (MRFs) provide a useful and theoretically well-established tool for integrating temporal contextual… 
1997
1997
In many digital image processing applications, image segmentation is required to provide initial partitioning of local image…