公开(公告)号：US20120134577A1

公开(公告)日：2012-05-31

申请号：US13288231

申请日：2011-11-03

申请人： Kohtaro SABE ,  Kenichi HIDAI ,  Kiyoto ICHIKAWA

发明人： Kohtaro SABE ,  Kenichi HIDAI ,  Kiyoto ICHIKAWA

IPC分类号： G06K9/62

CPC分类号： G06K9/4614 ,  G06K9/6256

摘要： An information processing apparatus includes: a distinguishing unit which, by using an ensemble classifier, which includes a plurality of weak classifiers outputting weak hypotheses which indicates whether a predetermined subject is shown in an image in response to inputs of a plurality of features extracted from the image, and a plurality of features extracted from an input image, sequentially integrates the weak hypotheses output by the weak classifiers in regard to the plurality of features and distinguishes whether the predetermined subject is shown in the input image based on the integrated value. The weak classifier classifies each of the plurality of features to one of three or more sub-divisions based on threshold values, calculates sum divisions of the sub-divisions of the plurality of features as whole divisions into which the plurality of features is classified, and outputs, as the weak hypothesis, a reliability degree of the whole divisions.

摘要翻译： 一种信息处理装置，包括：识别单元，其使用整体分类器，其包括输出弱假设的多个弱分类器，所述弱分类器指示响应于从所述图像提取的多个特征的输入，是否在图像中示出预定对象 图像和从输入图像提取的多个特征，顺序地对由弱分类器输出的关于多个特征的弱假设进行积分，并且基于积分值区分输入图像中是否显示预定对象。 所述弱分类器基于阈值将所述多个特征中的每一个分类为三个或更多个子分割中的一个，并且将所述多个特征的子分割的和除作为将所述多个特征分类成的整个分割，以及 作为弱假设的输出是整个分区的可靠性程度。

公开(公告)号：US20090138418A1

公开(公告)日：2009-05-28

申请号：US12357917

申请日：2009-01-22

申请人： Kenichi HIDAI ,  Kohtaro Sabe

发明人： Kenichi HIDAI ,  Kohtaro Sabe

IPC分类号： G06F15/18

CPC分类号： G05B13/0265

摘要： A learning control apparatus for an autonomous agent including a functional module having a function of multiple inputs and multiple outputs, the function receiving at least one variable and outputting at least one value, includes an estimating unit for estimating a causal relationship of at least one variable, a grouping unit for grouping at least one variable into a variable group in accordance with the estimated causal relationship, a determining for determining a behavior variable corresponding to each of the variable groups, and a layering unit for layering, in accordance with the variable group and the behavior variable, the function corresponding to each variable group, the function receiving the variable grouped into the variable group and outputting the behavior variable.

摘要翻译： 一种用于包括具有多个输入和多个输出的功能的功能模块的自主代理的学习控制装置，所述功能接收至少一个变量并输出至少一个值，所述学习控制装置包括：估计单元，用于估计至少一个变量 ，分组单元，用于根据估计的因果关系将至少一个变量分组成变量组，确定用于确定与每个可变组相对应的行为变量，以及分层单元，用于根据变量组 和行为变量，对应于每个变量组的函数，接收变量的函数分组到变量组中并输出行为变量。