Adaptive-resonance-theory training algorithm for image based on single training example

作者：Chen Ning; Li Xing

来源：Information Technology Journal, 2012, 11(7): 812-815.

DOI：10.3923/itj.2012.812.815

• Adaptive resonance theory
• Attention focus
• Attention mechanisms
• External conditions
• Multi resolutions
• Polynomial splines
• Training algorithms
• Training example

Under the limitation of cost and external condition, training example set cannot be large enough to satisfy requirement, moreover, single training example frequently exists. Therefore, this study introduces a multi-resolution pyramid algorithm into image process, which can transform single training example to a series of low-resolution sub-images as training example set to train attention mechanism of Adaptive Resonance Theory (ART), a fact that accord with theory of visual perceive, i.e., adjusting attention focus to implement visual perceive from coarse to fine. Moreover, with cooperation of polynomial spline algorithm, multi-resolution pyramid algorithm will lead to great efficiency and low complexity.

• 出版日期2012
• 单位Polytechnic university