会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Unsupervised adaptation and classification of multiple classes and sources in blind signal separation
    • 盲信号分离中多个类和源的无监督适应和分类
    • US06424960B1
    • 2002-07-23
    • US09418099
    • 1999-10-14
    • Te-Won LeeMichael S. LewickiTerrence J. Sejnowski
    • Te-Won LeeMichael S. LewickiTerrence J. Sejnowski
    • G06N302
    • G06K9/624G06K9/6807G10L21/0272
    • A computer-implemented method and apparatus that adapts class parameters, classifies data and separates sources configured in one of multiple classes whose parameters (i.e. characteristics) are initially unknown. The data set may be generated in a dynamic environment where the sources provide signals that are mixed, and the mixing parameters change without notice and in an unknown manner. A mixture model is used in which the observed data is categorized into two or more mutually exclusive classes. The class parameters for each of the classes are adapted to a data set in an adaptation algorithm in which class parameters including mixing matrices and bias vectors are adapted. Each data vector is assigned to one of the learned mutually exclusive classes. In some embodiments the class parameters may have been previously learned, and the system is used to classify the data and if desired to separate the sources. The adaptation and classification algorithms can be utilized in a wide variety of applications such as speech processing, image processing, medical data processing, satellite data processing, antenna array reception, and information retrieval systems. The adaptation algorithm described is implemented with an extended infomax ICA algorithm, which provides a way to separate sources that have a non-Gaussian (e.g., platykurtic or leptokurtic) structure.
    • 一种计算机实现的方法和装置,其适应类参数,对数据进行分类并分离在其参数(即特征)最初未知的多个类之一中配置的源。 数据集可以在动态环境中生成,其中源提供混合的信号,并且混合参数在未经通知和以未知的方式改变。 使用混合模型,其中观察到的数据被分类为两个或更多个互斥类。 每个类的类参数适应于适配算法中的数据集,其中包括混合矩阵和偏置向量的类参数被适配。 每个数据向量被分配给学习的互斥类之一。 在一些实施例中,类参数可以先前已经被学习,并且该系统被用于对数据进行分类,并且如果需要分离源。 适应和分类算法可以用于诸如语音处理,图像处理,医疗数据处理,卫星数据处理,天线阵列接收和信息检索系统的各种应用中。 所描述的适配算法用扩展的信息ICA算法来实现,该算法提供了一种分离具有非高斯(例如,平板游戏或leptokurtic)结构的源的方式。
    • 2. 发明授权
    • System and method of separating signals
    • 分离信号的系统和方法
    • US06799170B2
    • 2004-09-28
    • US10202190
    • 2002-07-22
    • Te-Won LeeMichael S. LewickiTerrence J. Sejnowski
    • Te-Won LeeMichael S. LewickiTerrence J. Sejnowski
    • G06N302
    • G06K9/624G06K9/6807G10L21/0272
    • A computer-implemented method and apparatus that adapts class parameters, classifies data and separates sources configured in one of multiple classes whose parameters (i.e. characteristics) are initially unknown. A mixture model is used in which the observed data is categorized into two or more mutually exclusive classes. The class parameters for each of the classes are adapted to a data set in an adaptation algorithm in which class parameters including mixing matrices and bias vectors are adapted. Each data vector is assigned to one of the learned mutually exclusive classes. The adaptation and classification algorithms can be utilized in a wide variety of applications such as speech processing, image processing, medical data processing, satellite data processing, antenna array reception, and information retrieval systems.
    • 一种计算机实现的方法和装置,其适应类参数,对数据进行分类并分离在其参数(即特征)最初未知的多个类之一中配置的源。 使用混合模型,其中观察到的数据被分类为两个或更多个互斥类。 每个类的类参数适应于适配算法中的数据集,其中包括混合矩阵和偏置向量的类参数被适配。 每个数据向量被分配给学习的互斥类之一。 适应和分类算法可以用于诸如语音处理,图像处理,医疗数据处理,卫星数据处理,天线阵列接收和信息检索系统的各种应用中。
    • 3. 发明授权
    • Method and apparatus for efficiently encoding chromatic images using non-orthogonal basis functions
    • 使用非正交基函数有效地编码彩色图像的方法和装置
    • US06870962B2
    • 2005-03-22
    • US09846485
    • 2001-04-30
    • Te-Won LeeThomas WachtlerTerrence J. Sejnowski
    • Te-Won LeeThomas WachtlerTerrence J. Sejnowski
    • G06T9/00H03M7/30H04N1/41H04N7/30G06K9/36G06K9/46
    • G06K9/6242G06K9/4652G06T9/007
    • A method and apparatus for efficiently encoding images using a set of non-orthogonal basis functions, thereby allowing reduction of file size, shorter transmission time, and improved accuracy. The non-orthogonal basis functions include homogenous color basis functions, luminance-encoding basis functions that have luminance edges and chromatic basis functions that exhibit color opponency. Some of the basis functions are non-orthogonal with respect to each other. Using these basis functions, a source vector is calculated to provide a number of coefficients, each coefficient associated with one basis function. The source vector is compressed by selecting a subset of the calculated coefficients, thereby providing an encoded vector. Because the method is highly efficient, the image data is substantially represented by a small number of coefficients. In some embodiments, the non-orthogonal basis functions include two or more classes. A wavelet approach can also be utilized.
    • 一种用于使用一组非正交基函数对图像进行高效编码的方法和装置,从而允许减小文件大小,缩短传输时间和提高精度。 非正交基函数包括均匀颜色基函数,具有亮度边缘的亮度编码基函数和表现色彩对立的色基函数。 一些基本函数相互之间是非正交的。 使用这些基函数,计算源向量以提供多个系数,每个系数与一个基函数相关联。 通过选择所计算的系数的子集来压缩源向量,由此提供编码的向量。 因为该方法是高效的,所以图像数据基本上由少量系数表示。 在一些实施例中,非正交基函数包括两个或多个类。 也可以使用小波方法。
    • 4. 发明授权
    • Method and apparatus for efficiently encoding chromatic images using non-orthogonal basis functions
    • 使用非正交基函数有效地编码彩色图像的方法和装置
    • US07286712B2
    • 2007-10-23
    • US11086802
    • 2005-03-21
    • Te-Won LeeThomas WachtlerTerrence J. Sejnowski
    • Te-Won LeeThomas WachtlerTerrence J. Sejnowski
    • G06K9/36G06K9/46
    • G06K9/6242G06K9/4652G06T9/007
    • A method and apparatus for efficiently encoding images using a set of non-orthogonal basis functions, thereby allowing reduction of file size, shorter transmission time, and improved accuracy. The non-orthogonal basis functions include homogenous color basis functions, luminance-encoding basis functions that have luminance edges and chromatic basis functions that exhibit color opponency. Some of the basis functions are non-orthogonal with respect to each other. Using these basis functions, a source vector is calculated to provide a number of coefficients, each coefficient associated with one basis function. The source vector is compressed by selecting a subset of the calculated coefficients, thereby providing an encoded vector. Because the method is highly efficient, the image data is substantially represented by a small number of coefficients. In some embodiments, the non-orthogonal basis functions include two or more classes. A wavelet approach can also be utilized.
    • 一种用于使用一组非正交基函数对图像进行高效编码的方法和装置,从而允许减小文件大小,缩短传输时间和提高精度。 非正交基函数包括均匀颜色基函数,具有亮度边缘的亮度编码基函数和表现色彩对立的色基函数。 一些基本函数相互之间是非正交的。 使用这些基函数,计算源向量以提供多个系数,每个系数与一个基函数相关联。 通过选择所计算的系数的子集来压缩源向量,由此提供编码的向量。 因为该方法是高效的,所以图像数据基本上由少量系数表示。 在一些实施例中,非正交基函数包括两个或多个类。 也可以使用小波方法。