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PHYSICAL INFORMATION SORTING DEVICE USING INDUCTIVE LEARNING AND PHYSICAL INFORMATION SORTING RULE GENERATION METHOD USING INDUCTIVE LEARNING

机译:归纳学习的物理信息排序设备和归纳学习的物理信息排序规则生成方法

摘要

PURPOSE:To automatically and accurately generate the sorting rules of feature information relating to optional physical information relating to the sorting technique of the physical information such as a technique for sorting pictures for which skin surfaces are image picked up by the ages of skin. CONSTITUTION:At the time of learning, an inductive learning part 106 lets a picture input part 101 and a feature parameter extraction part 103 extract the sets of plural feature parameter pairs 104 corresponding to the plural skin surfaces for learning belonging to respective sorting classes as the set of positive examples belonging to the respective sorting classes corresponding to the respective plural sorting classes. Then, the inductive learning part 106 generates the sorting rules corresponding to the respective sorting classes for satisfying the positive examples included in the respective sorting classes and not satisfying the positive examples included in the sorting class other than the respective sorting classes by an inductive learning processing. At the time of sorting, a sorting part 108 uses the sorting rules and outputs the sorting classes corresponding to the feature parameter pairs 104 as sorting class recognition output 109.
机译:目的:自动和准确地生成与可选物理信息有关的特征信息的分类规则,该可选物理信息与物理信息的分类技术有关,例如用于对图片进行分类的技术,这些图片的皮肤表面是随年龄的皮肤而拾取的。构成:在学习时,归纳学习部分106让图片输入部分101和特征参数提取部分103提取与属于多个分类的皮肤表面相对应的多个特征参数对104的集合,所述多个特征参数对104分别属于分类类别。属于与多个分类类别相对应的各个分类类别的肯定示例集合。然后,归纳学习部106通过归纳学习处理来生成与各个分类类别相对应的分类规则,以满足各个分类类别中包括的肯定示例,而不满足除各个分类类别之外的包括在分类类别中的肯定示例。 。在分类时,分类部108使用分类规则,并且将与特征参数对104相对应的分类类别作为分类类别识别输出109输出。

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