Using contextual information to set control parameters of a vision process

S. Houzelle, T. Strat, P. Fua, M. Fischler
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引用次数: 4

Abstract

This paper presents a novel approach to supervised learning of image-understanding tactics based on the use of contextual information. We use a database to store past experiences. From this database and the context elements computed from the task specifications and the input data, we determine whether or not an algorithm is applicable, and which parameters are suitable for it. The database is continuously updated with information of success or failure of the system.
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使用上下文信息来设置视觉过程的控制参数
本文提出了一种基于上下文信息的图像理解策略监督学习的新方法。我们使用数据库来存储过去的经历。从这个数据库和从任务规范和输入数据计算的上下文元素中,我们确定算法是否适用,以及哪些参数适合它。数据库会不断更新系统的成功或失败信息。
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