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1.发明授权Methods and apparatus for performing transformation techniques for data clustering and/or classification 有权用于执行数据聚类和/或分类的转换技术的方法和装置公开(公告)号：US09117444B2
公开(公告)日：2015-08-25
申请号：US13569792
申请日：2012-08-08
CPC分类号： G10L15/063 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： Some aspects include transforming data, at least a portion of which has been processed to determine at least one representative vector associated with each of a plurality of classifications associated with the data to obtain a plurality of representative vectors. Techniques comprise determining a first transformation based, at least in part, on the plurality of representative vectors, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters.
摘要翻译： 一些方面包括变换数据，其至少一部分已被处理以确定与数据相关联的多个分类中的每一个相关联的至少一个代表性向量以获得多个代表性向量。 技术包括至少部分地基于多个代表向量来确定第一变换，至少对数据应用第一变换以获得变换后的数据，以及将多个聚类拟合到变换数据以获得多个已建立的 集群。 一些方面包括通过使用至少第一变换变换输入数据并将变换后的输入数据与建立的群集进行比较来分类输入数据。
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2.发明授权Methods and apparatus for performing transformation techniques for data clustering and/or classification 有权用于执行数据聚类和/或分类的转换技术的方法和装置公开(公告)号：US09064491B2
公开(公告)日：2015-06-23
申请号：US13569830
申请日：2012-08-08
CPC分类号： G10L15/063 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： Some aspects include transforming data, at least a portion of which has been processed to determine frequency information associated with features in the data. Techniques include determining a first transformation based, at least in part, on the frequency information, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters.
摘要翻译： 一些方面包括转换数据，其中至少一部分已经被处理以确定与数据中的特征相关联的频率信息。 技术包括至少部分地基于频率信息来确定第一变换，至少对数据应用第一变换以获得变换后的数据，以及将多个簇拟合到变换数据以获得多个已建立的簇。 一些方面包括通过使用至少第一变换变换输入数据并将变换后的输入数据与建立的群集进行比较来分类输入数据。
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3.发明授权Methods and apparatus for performing transformation techniques for data clustering and/or classification 有权用于执行数据聚类和/或分类的转换技术的方法和装置公开(公告)号：US08972312B2
公开(公告)日：2015-03-03
申请号：US13569742
申请日：2012-08-08
CPC分类号： G10L15/063 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： Some aspects include transforming data for which at least one constraint has been specified on a portion of the data, the at least one constraint relating to a similarity and/or dissimilarity of at least some of the portion of the data. Techniques comprise determining a first transformation that approximates the at least one constraint using a cosine similarity as a measure of the similarity and/or dissimilarity of the at least a portion of the data, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters.
摘要翻译： 一些方面包括将对数据的一部分指定了至少一个约束的数据进行变换，所述至少一个约束涉及数据的至少部分数据的相似性和/或不相似性。 技术包括确定使用余弦相似度来近似该至少一个约束的第一变换作为数据的至少一部分的相似性和/或不相似性的量度，至少将第一变换应用于数据以获得变换数据 并且将多个簇拟合到经变换的数据以获得多个已建立的簇。 一些方面包括通过使用至少第一变换变换输入数据并将变换后的输入数据与建立的群集进行比较来分类输入数据。
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4.发明申请METHODS AND APPARATUS FOR PERFORMING TRANSFORMATION TECHNIQUES FOR DATA CLUSTERING AND/OR CLASSIFICATION 有权用于执行数据分类和/或分类的转换技术的方法和装置公开(公告)号：US20130325472A1
公开(公告)日：2013-12-05
申请号：US13569830
申请日：2012-08-08
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： Some aspects include transforming data, at least a portion of which has been processed to determine frequency information associated with features in the data. Techniques include determining a first transformation based, at least in part, on the frequency information, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters.
摘要翻译： 一些方面包括转换数据，其中至少一部分已经被处理以确定与数据中的特征相关联的频率信息。 技术包括至少部分地基于频率信息来确定第一变换，至少对数据应用第一变换以获得变换后的数据，以及将多个簇拟合到变换数据以获得多个已建立的簇。 一些方面包括通过使用至少第一变换变换输入数据并将变换后的输入数据与建立的群集进行比较来分类输入数据。
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5.发明申请METHODS AND APPARATUS FOR PERFORMING TRANSFORMATION TECHNIQUES FOR DATA CLUSTERING AND/OR CLASSIFICATION 有权用于执行数据分类和/或分类的转换技术的方法和装置公开(公告)号：US20130325759A1
公开(公告)日：2013-12-05
申请号：US13569742
申请日：2012-08-08
IPC分类号： G06N99/00
CPC分类号： G10L15/063 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： Some aspects include transforming data for which at least one constraint has been specified on a portion of the data, the at least one constraint relating to a similarity and/or dissimilarity of at least some of the portion of the data. Techniques comprise determining a first transformation that approximates the at least one constraint using a cosine similarity as a measure of the similarity and/or dissimilarity of the at least a portion of the data, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters.
摘要翻译： 一些方面包括将对数据的一部分指定了至少一个约束的数据进行变换，所述至少一个约束涉及数据的至少部分数据的相似性和/或不相似性。 技术包括确定使用余弦相似度来近似该至少一个约束的第一变换作为数据的至少一部分的相似性和/或不相似性的量度，至少将第一变换应用于数据以获得变换数据 并且将多个簇拟合到经变换的数据以获得多个已建立的簇。 一些方面包括通过使用至少第一变换变换输入数据并将变换后的输入数据与建立的群集进行比较来分类输入数据。
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6.发明申请METHODS AND APPARATUS FOR PERFORMING TRANSFORMATION TECHNIQUES FOR DATA CLUSTERING AND/OR CLASSIFICATION 有权用于执行数据分类和/或分类的转换技术的方法和装置公开(公告)号：US20130325471A1
公开(公告)日：2013-12-05
申请号：US13569792
申请日：2012-08-08
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： Some aspects include transforming data, at least a portion of which has been processed to determine at least one representative vector associated with each of a plurality of classifications associated with the data to obtain a plurality of representative vectors. Techniques comprise determining a first transformation based, at least in part, on the plurality of representative vectors, applying at least the first transformation to the data to obtain transformed data, and fitting a plurality of clusters to the transformed data to obtain a plurality of established clusters. Some aspects include classifying input data by transforming the input data using at least the first transformation and comparing the transformed input data to the established clusters.
摘要翻译： 一些方面包括变换数据，其至少一部分已被处理以确定与数据相关联的多个分类中的每一个相关联的至少一个代表性向量以获得多个代表性向量。 技术包括至少部分地基于多个代表向量来确定第一变换，至少对数据应用第一变换以获得变换后的数据，以及将多个聚类拟合到变换数据以获得多个已建立的 集群。 一些方面包括通过使用至少第一变换变换输入数据并将变换后的输入数据与建立的群集进行比较来分类输入数据。
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公开(公告)号：US09054666B2
公开(公告)日：2015-06-09
申请号：US13448428
申请日：2012-04-17
CPC分类号： H03G3/32
摘要： A method for improving the performance of a noise cancellation device, the method includes determining whether one or more noise making objects (NMO) are near an audible range of the noise cancellation device and receiving a signal from the one or more NMOs indicative of a kind of noise the one or more NMOs is generating. The method also includes selecting a specific noise cancellation model to reduce an expected noise in response to the received kind of noise the one or more NMOs is generating.
摘要翻译： 一种用于改善噪声消除装置的性能的方法，所述方法包括确定一个或多个噪声产生对象（NMO）是否在噪声消除装置的可听范围附近并且接收来自指示某种类型的一个或多个NMO的信号 一个或多个NMO正在产生噪音。 该方法还包括选择特定的噪声消除模型以响应于所接收的一个或多个NMO产生的噪声种类来减少期望的噪声。
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8.发明授权公开(公告)号：US08655644B2
公开(公告)日：2014-02-18
申请号：US12570665
申请日：2009-09-30
IPC分类号： G06F17/28
CPC分类号： G06F17/289 , G06Q20/102
摘要： Methods and apparatus for language translation in a computing environment associated with a virtual application are presented. For example, a method for providing language translation includes determining languages of a user and a correspondent; determining one or more sequences of translators; determining a selected sequence of selected translators from the one or more sequences of the translators; requesting a change in virtual locations, within the computing environment associated with the virtual application, of one or more selected translator virtual representations of the selected translators to a virtual meeting location within the computing environment associated with the virtual application; and changing virtual locations of the one or more selected translator virtual representations to the virtual meeting location. One or more of determining languages, determining one or more sequences, determining a selected sequence, requesting a change in virtual locations, and changing virtual locations occur on a processor device.
摘要翻译： 提出了与虚拟应用程序相关联的计算环境中的语言翻译的方法和装置。 例如，提供语言翻译的方法包括确定用户和记者的语言; 确定翻译器的一个或多个序列; 从所述翻译器的所述一个或多个序列确定所选择的翻译器的选定序列; 在与所述虚拟应用相关联的所述计算环境内，将所选择的转换器的一个或多个所选择的转换器虚拟表示的虚拟位置改变为与所述虚拟应用相关联的所述计算环境内的虚拟会议位置; 以及将所述一个或多个所选择的翻译器虚拟表示的虚拟位置改变到所述虚拟会议位置。 确定一个或多个序列，确定所选择的序列，请求虚拟位置的改变以及改变虚拟位置中的一个或多个发生在处理器设备上。
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公开(公告)号：US08484024B2
公开(公告)日：2013-07-09
申请号：US13034293
申请日：2011-02-24
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G10L15/02 , G10L15/083 , G10L2015/025 , G10L2015/0631
摘要： Techniques are disclosed for using phonetic features for speech recognition. For example, a method comprises the steps of obtaining a first dictionary and a training data set associated with a speech recognition system, computing one or more support parameters from the training data set, transforming the first dictionary into a second dictionary, wherein the second dictionary is a function of one or more phonetic labels of the first dictionary, and using the one or more support parameters to select one or more samples from the second dictionary to create a set of one or more exemplar-based class identification features for a pattern recognition task.
摘要翻译： 公开了使用语音特征进行语音识别的技术。 例如，一种方法包括以下步骤：获得与语音识别系统相关联的第一字典和训练数据集，从训练数据集计算一个或多个支持参数，将第一字典变换为第二字典，其中第二字典 是第一字典的一个或多个语音标签的功能，并且使用一个或多个支持参数从第二字典中选择一个或多个样本，以创建用于模式识别的一个或多个基于样本的类识别特征的集合 任务。
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10.发明授权公开(公告)号：US08326787B2
公开(公告)日：2012-12-04
申请号：US12551297
申请日：2009-08-31
申请人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
发明人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
CPC分类号： G06N99/005 , G06N7/005
摘要： A method, information processing system, and computer readable article of manufacture model data. A first dataset is received that includes a first set of physical world data. At least one data model associated with the first dataset is generated based on the receiving. A second dataset is received that includes a second set of physical world data. The second dataset is compared to the at least one data model. A probability that the second dataset is modeled by the at least one data model is determined. A determination is made that the probability is above a given threshold. A decision associated with the second dataset based on the at least one data model is generated in response to the probability being above the given threshold. The probability and the decision are stored in memory. The probability and the decision are provided to user via a user interface.
摘要翻译： 一种方法，信息处理系统和计算机可读物品的制造模型数据。 接收包括第一组物理世界数据的第一数据集。 基于接收生成与第一数据集相关联的至少一个数据模型。 接收包括第二组物理世界数据的第二数据集。 将第二数据集与至少一个数据模型进行比较。 确定第二数据集由至少一个数据模型建模的概率。 确定概率高于给定阈值。 响应于高于给定阈值的概率，生成基于至少一个数据模型与第二数据集相关联的决定。 概率和决定存储在内存中。 通过用户界面向用户提供概率和决定。
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