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    • 92. 发明公开
    • LEXICAL ANALYZER FOR A NEURO-LINGUISTIC BEHAVIOR RECOGNITION SYSTEM
    • 用于神经语言行为识别系统的词汇分析器
    • EP3230897A1
    • 2017-10-18
    • EP15867384.8
    • 2015-12-10
    • Omni Ai, Inc.
    • XU, GangSEOW, Ming-JungYANG, TaoCOBB, Wesley Kenneth
    • G06F17/27
    • G06F17/2735G06F17/2775G06N5/045G06N99/005
    • Techniques are disclosed for building a dictionary of words from combinations of symbols generated based on input data. A neuro-linguistic behavior recognition system includes a neuro-linguistic module that generates a linguistic model that describes data input from a source (e.g., video data, SCADA data, etc.). To generate words for the linguistic model, a lexical analyzer component in the neuro-linguistic module receives a stream of symbols, each symbol generated based on an ordered stream of normalized vectors generated from input data. The lexical analyzer component determines words from combinations of the symbols based on a hierarchical learning model having one or more levels. Each level indicates a length of the words to be identified at that level. Statistics are evaluated for the words identified at each level. The lexical analyzer component identifies one or more of the words having statistical significance.
    • 公开了用于根据基于输入数据生成的符号组合来构建单词词典的技术。 神经语言行为识别系统包括生成描述从源(例如,视频数据,SCADA数据等)输入的数据的语言模型的神经语言模块。 为了为语言模型生成单词,神经语言模块中的词汇分析器组件接收符号流,每个符号基于从输入数据生成的规范化向量的有序流生成。 词法分析器组件基于具有一个或多个级别的分层学习模型来从符号的组合中确定单词。 每个级别表示在该级别要识别的单词的长度。 对每个级别确定的词进行统计评估。 词法分析器组件识别一个或多个具有统计显着性的单词。
    • 94. 发明公开
    • METHOD AND APPARATUS FOR PERFORMING BLOCK RETRIEVAL ON BLOCK TO BE PROCESSED OF URINE SEDIMENT IMAGE
    • 方法和装置用于进行块上的萃取制造尿沉渣图像块
    • EP3138033A4
    • 2017-05-17
    • EP15786785
    • 2015-04-30
    • SIEMENS HEALTHCARE DIAGNOSTICS INC
    • SHEN TIANXU JUANZHANG XIAOFAN
    • G06F19/00G06K9/00G06K9/62
    • G06N5/045G01N33/493G06F17/30961G06K9/6282G06N99/005
    • The inventive concepts herein relate to performing block retrieval on a block to be processed of a urine sediment image. The method comprises: using a plurality of decision trees to perform block retrieval on the block to be processed, wherein each of the plurality of decision trees comprises a judgment node and a leaf node, and the judgment node judges the block to be processed to make it reach the leaf node by using a block retrieval feature in a block retrieval feature set to form a block retrieval result at the leaf node, and at least two decision trees in the plurality of decision trees are different in structures thereof and/or judgments performed by the judgment nodes thereof by using the block retrieval feature; and integrating the block retrieval results of the plurality of decision trees so as to form a final block retrieval result.
    • 本发明的构思涉及一种块执行在存储块检索尿液沉渣图像进行处理。 该方法包括:利用决策树的一个多元化的块执行块检索被处理,worin每个决策树的多个包括判断节点和叶节点,并将该判断节点判断该块被处理以使 它通过在设置为形成在所述叶节点中的块的检索结果的块的检索的功能使用块的检索功能到达的叶节点,并且在判定树的多个至少两个判定树中进行的它们的结构和/或判决不同 通过其通过使用块检索功能的判定节点; 和INTEGRA婷决策树的多个存储块检索的结果,以便形成最终的块的检索结果。
    • 95. 发明公开
    • FACTOR ANALYSIS DEVICE, FACTOR ANALYSIS METHOD, AND FACTOR ANALYSIS PROGRAM
    • FAKTORANALYSEVORRICHTUNG,FAKTORANALYSEVERFAHREN UND FAKTORANALYSEPROGRAMM
    • EP3118750A1
    • 2017-01-18
    • EP14885775.8
    • 2014-12-15
    • NEC Corporation
    • MIZOGUCHI, Takehiko
    • G06F17/18G05B19/418G06Q50/04
    • G06F17/18G06K9/00496G06N5/045G07C3/14Y02P90/22
    • This factor analysis device is provided with a feature extraction unit (1021) that extracts feature quantities from an explanatory time series, a feature conversion unit (1022) that converts said feature quantities to a feature time series, a feature-time-series influence-degree computation unit (1031) that uses said feature time series and a response time series to compute an influence degree indicating the degree to which the feature time series influences the change over time represented by the response time series, and an explanatory-time-series influence-degree computation unit (1032) that uses said influence degree to compute an influence degree indicating the degree to which the explanatory time series influences the change over time represented by the response time series.
    • 该因子分析装置具有从说明时间序列中提取特征量的特征提取单元(1021),将特征量转换为特征时间序列的特征转换单元(1022),特征时间序列影响 - 使用所述特征时间序列的度数计算单元(1031)和响应时间序列来计算指示特征时间序列影响由响应时间序列表示的随时间变化的程度的影响程度,以及说明时间序列 影响度计算单元(1032),其使用所述影响程度来计算表示说明时间序列影响由响应时间序列表示的随时间变化的程度的影响程度。