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81. 发明申请

US20110243456A1 METHOD AND DEVICE FOR GENERATING IMAGE-PROCESSING COMPONENT DATA 有权
标题翻译：用于生成图像处理组件数据的方法和装置
公开(公告)号：US20110243456A1
公开(公告)日：2011-10-06
申请号：US13070903
申请日：2011-03-24
申请人： Takayoshi KAWAI , Mitsutaka Inagaki
发明人： Takayoshi KAWAI , Mitsutaka Inagaki
IPC分类号： G06K9/46
CPC分类号： G06K9/6253 , G06T7/001 , G06T2207/30148
摘要： Disclosed is a method of generating image-processing component data which is used when an image of a component to be mounted by a component mounting apparatus is recognized. The method includes extracting first component shape data from CAD data of the component, measuring second component shape data from an image of the component obtained by an imaging device, and generating image-processing component data based on the first and second component shape data.
摘要翻译：本发明公开了一种生成图像处理部件数据的方法，该图像处理部件数据在识别出由部件安装装置安装的部件的图像时使用。该方法包括从分量的CAD数据提取第一分量形状数据，从由成像装置获得的分量的图像测量第二分量形状数据，以及基于第一和第二分量形状数据生成图像处理分量数据。

82. 发明授权

US07966277B2 Partition-based pattern recognition system 有权
标题翻译：基于分区的模式识别系统
公开(公告)号：US07966277B2
公开(公告)日：2011-06-21
申请号：US11838839
申请日：2007-08-14
申请人： Jeffrey Brian Adams
发明人： Jeffrey Brian Adams
IPC分类号： G06N5/02 , G06N5/04 , G06F17/00 , G06F17/10 , G06F15/18 , G06F7/02 , G06F7/04
CPC分类号： G06K9/00986 , G06K9/6253
摘要： Methods, apparatuses and systems directed to pattern identification and pattern recognition. In some particular implementations, the invention provides a flexible pattern recognition platform including pattern recognition engines that can be dynamically adjusted to implement specific pattern recognition configurations for individual pattern recognition applications. In some implementations, the present invention also provides for a partition configuration where knowledge elements can be grouped and pattern recognition operations can be individually configured and arranged to allow for multi-level pattern recognition schemes.
摘要翻译：针对模式识别和模式识别的方法，设备和系统。在一些特定实施方式中，本发明提供了一种灵活的模式识别平台，其包括可被动态地调整以实现针对各个模式识别应用的特定模式识别配置的模式识别引擎。在一些实现中，本发明还提供了一种分区配置，其中知识元素可以被分组，并且模式识别操作可以被单独配置和布置成允许多级模式识别方案。

83. 发明授权

US07937351B2 Support vector machine using iterative chunking and violators 有权
标题翻译：支持向量机使用迭代块和违规
公开(公告)号：US07937351B2
公开(公告)日：2011-05-03
申请号：US12356061
申请日：2009-01-19
申请人： Boriana L. Milenova , Joseph S. Yarmus , Marcos M. Campos , Mark A. McCracken
发明人： Boriana L. Milenova , Joseph S. Yarmus , Marcos M. Campos , Mark A. McCracken
IPC分类号： G06F17/00 , G06F15/18 , G06N5/00
CPC分类号： G06F17/30595 , G06F2216/03 , G06K9/6253 , G06K9/6269
摘要： An implementation of SVM functionality improves efficiency, time consumption, and data security, reduces the parameter tuning challenges presented to the inexperienced user, and reduces the computational costs of building SVM models. A computer program product for support vector machine processing in a computer system comprises computer program instructions for storing data, providing an interface to client software, building a support vector machine model on at least a portion of the stored data, based on a plurality of model-building parameters, estimating values for at least some of the model-building parameters, and applying the support vector machine model using the stored data to generate a data mining output.
摘要翻译： SVM功能的实现提高了效率，时间消耗和数据安全性，减少了对经验不足的用户提出的参数调优挑战，并降低了构建SVM模型的计算成本。一种用于在计算机系统中支持向量机处理的计算机程序产品包括用于存储数据的计算机程序指令，向客户端软件提供接口，基于多个模型在至少一部分存储的数据上构建支持向量机模型建模参数，估计至少一些模型建立参数的值，以及使用所存储的数据应用支持向量机模型以生成数据挖掘输出。

84. 发明申请

US20110097001A1 COMPUTER-IMPLEMENTED VISUALIZATION METHOD 失效
标题翻译：计算机实现可视化方法
公开(公告)号：US20110097001A1
公开(公告)日：2011-04-28
申请号：US12907069
申请日：2010-10-19
申请人： Abderrahim Labbi , Michail Vlachos
发明人： Abderrahim Labbi , Michail Vlachos
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06K9/6253
摘要： A method, system and computer product for visualizing affinities between objects. The method includes the steps of: forming a representation of a minimum spanning tree where the minimum spanning tree connects the plurality of objects based on a pairwise distance between the plurality of objects; forming a hierarchical cluster of the plurality of objects where the hierarchical cluster includes a level; agglomerating the plurality of objects based on the pairwise distance; displaying a view of the representation of the minimum spanning tree in a graphical user interface; receiving a user selection of a parameter containing a hierarchical level; and identifying, in the view, a target cluster that corresponds to the hierarchical level; where at least one of the steps is carried out using a computer device so that affinities between the plurality of objects are visualized.
摘要翻译：一种用于可视化对象之间的亲和度的方法，系统和计算机产品。该方法包括以下步骤：基于多个对象之间的成对距离，形成最小生成树的连接多个对象的最小生成树的表示; 形成所述多个对象的分级集群，其中所述分层集群包括层次; 基于成对距离聚集多个物体; 在图形用户界面中显示最小生成树的表示的视图; 接收包含层次级别的参数的用户选择; 并且在视图中识别与分层级相对应的目标簇; 其中使用计算机设备执行至少一个步骤，使得可以可视化多个对象之间的亲和度。

85. 发明申请

US20110051999A1 Device and method for detecting targets in images based on user-defined classifiers 有权
标题翻译：基于用户定义的分类器检测图像中的目标的设备和方法
公开(公告)号：US20110051999A1
公开(公告)日：2011-03-03
申请号：US12078300
申请日：2008-03-28
申请人： Peter H. Tu , Nils O. Krahnstoever , Jens Rittscher , Gianfranco Doretto
发明人： Peter H. Tu , Nils O. Krahnstoever , Jens Rittscher , Gianfranco Doretto
IPC分类号： G06K9/00
CPC分类号： G06K9/6292 , G06K9/3216 , G06K9/6253 , G06K9/6256
摘要： A device and method for detecting targets of interest in an image, such as people or objects of a certain type. Targets are detected based on an optimized strong classifier descriptor that can be based on a combination of weak classifier descriptors. The weak classifier descriptors can include a user-defined weak classifier descriptor that is defined by a user to represent a shape or appearance attribute that is characteristic of parts of the target of interest. The strong classifier descriptor can be optimized by selecting a subset of weak classifier descriptors that exhibit improved performance in detecting targets in training images.
摘要翻译：一种用于检测图像中的感兴趣对象的装置和方法，诸如某种类型的人或物体。基于可以基于弱分类器描述符的组合的优化的强分类器描述符来检测目标。弱分类器描述符可以包括用户定义的弱分类器描述符，其由用户定义以表示作为目标的部分特征的形状或外观属性。可以通过选择在训练图像中检测目标中表现出改进的性能的弱分类器描述符的子集来优化强分类器描述符。

86. 发明授权

US07899625B2 Method and system for robust classification strategy for cancer detection from mass spectrometry data 失效
标题翻译：用于从质谱数据进行癌症检测的鲁棒分类策略的方法和系统
公开(公告)号：US07899625B2
公开(公告)日：2011-03-01
申请号：US11493838
申请日：2006-07-27
申请人： Gyan Vatsaraja Bhanot , Gabriele Alexe , Arnold J. Levine , Babu Venkataraghavan
发明人： Gyan Vatsaraja Bhanot , Gabriele Alexe , Arnold J. Levine , Babu Venkataraghavan
IPC分类号： G06F7/00
CPC分类号： G06K9/00536 , G06K9/6253 , G06K9/6262
摘要： A robust classification method for cancer detection from mass spectrometry data includes inputting the mass spectrometry data, preprocessing the spectrometry data, conducting robust feature selection, generating predictions for the test data sets using multiple data classifiers, the multiple data classifiers including artificial neural networks, support vector machines, weighted voting on data patterns, classification and regression trees, k-nearest neighbor classification, and logistic regression, and constructing and validating a meta-classifier by combining individual predictions of the multiple data classifiers to generate a robust prediction of a phenotype. The test data sets are used exclusively for validation of the meta-classifier.
摘要翻译：用于质谱数据的癌症检测的鲁棒分类方法包括输入质谱数据，预处理光谱数据，进行鲁棒特征选择，使用多个数据分类器生成测试数据集的预测，多数据分类器包括人造神经网络，支持矢量机，数据模式的加权投票，分类和回归树，k-最近邻分类和逻辑回归，以及通过组合多个数据分类器的单个预测来构建和验证元分类器，以生成表型的鲁棒预测。测试数据集专门用于验证元分类器。

87. 发明申请

US20100332210A1 METHOD AND APPARATUS FOR PREDICTING OBJECT PROPERTIES AND EVENTS USING SIMILARITY-BASED INFORMATION RETRIEVAL AND MODELING 有权
标题翻译：使用基于相似性的信息检索和建模来预测对象属性和事件的方法和装置
公开(公告)号：US20100332210A1
公开(公告)日：2010-12-30
申请号：US12823320
申请日：2010-06-25
申请人： J. Douglas Birdwell , Tse-Wei Wang , David J. Icove , Sally P. Horn , Mark Rader
发明人： J. Douglas Birdwell , Tse-Wei Wang , David J. Icove , Sally P. Horn , Mark Rader
IPC分类号： G06F9/45 , G06F17/30
CPC分类号： G06Q30/0185 , G06F17/30321 , G06F17/30424 , G06F17/30442 , G06F17/30598 , G06F17/30657 , G06F17/3071 , G06K9/6224 , G06K9/6253 , G06Q50/265
摘要： Method and apparatus for predicting properties of a target object, in particular, one of an origin and a source, comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods. By way of example, a fire event and residual objects may be located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.
摘要翻译：用于预测目标对象，特别是源和源之一的属性的方法和装置包括：用于分析多个对象的多个数据库的参数的搜索管理器的应用，所述数据库包括电，电磁，声谱数据库（ESD），微体组合数据库（MAD）和图像数据数据库，由此数据库存储包含识别特征的数据对象，源信息和关于站点属性和包括时间和频率变化数据的上下文的信息。该方法包括应用多变量统计分析和主成分分析与基于内容的图像检索相结合，以提供三维对象的二维属性，例如，通过使用形状树的优先图像分割并预测对象的进一步属性通过k-means聚类和相关方法。作为示例，火灾事件和残余物体可以被定位和限定，使得例如残留物体的性质可以是合格的，例如通过黑体辐射和包括木炭组合的微体数据库。

88. 发明申请

US20100329545A1 METHOD AND SYSTEM FOR TRAINING CLASSIFICATION AND EXTRACTION ENGINE IN AN IMAGING SOLUTION 有权
标题翻译：用于在成像解决方案中训练分类和提取发动机的方法和系统
公开(公告)号：US20100329545A1
公开(公告)日：2010-12-30
申请号：US12495069
申请日：2009-06-30
申请人： John A. Moore , Matthew Coene
发明人： John A. Moore , Matthew Coene
IPC分类号： G06K9/62 , G06F17/30 , G06F15/18
CPC分类号： G06K9/033 , G06F17/30256 , G06K9/6253
摘要： A method and system for automatically training a document imaging classification and extraction system that switches between a manual mode and an automatic mode based on constant monitoring. A specialized sub-system monitors and records a user interaction with the classification system during the initial manual mode and, in parallel, develops and tests a user configuration with respect to an automated processing engine. The system is capable of being shifted to the automatic mode if a desired acceptability threshold is attained and the document can then be processed automatically. Furthermore, a user can interact with the classification system if the automatic mode fails. Information concerning exception handling can be entered into a training database for continual refinement of the classification and extraction system.
摘要翻译：一种用于自动训练基于恒定监视在手动模式和自动模式之间切换的文档成像分类和提取系统的方法和系统。专门的子系统在初始手动模式期间监视和记录用户与分类系统的交互，并且并行地开发和测试关于自动处理引擎的用户配置。如果达到所需的可接受性阈值，则系统能够转移到自动模式，然后可以自动处理文档。此外，如果自动模式失败，用户可以与分类系统交互。关于异常处理的信息可以输入到培训数据库中，以不断改进分类和提取系统。

89. 发明授权

US07844088B2 Methods and systems for data analysis and feature recognition including detection of avian influenza virus 有权
标题翻译：用于数据分析和特征识别的方法和系统，包括禽流感病毒的检测
公开(公告)号：US07844088B2
公开(公告)日：2010-11-30
申请号：US11674997
申请日：2007-02-14
申请人： Robert M. Brinson, Jr. , Nicholas Levi Middleton , Bryan Glenn Donaldson
发明人： Robert M. Brinson, Jr. , Nicholas Levi Middleton , Bryan Glenn Donaldson
IPC分类号： G06K9/00
CPC分类号： G06K9/6253 , C12N2760/16111 , G01N2333/11 , G06K9/3233 , G06K9/6282
摘要： Systems and methods for automated pattern recognition and detection of avian influenza virus in a data set corresponding to an aspect of a biological sample. The method includes receiving a first data set corresponding to a first aspect of a first biological sample, analyzing the first data set using results of a first series of algorithms processed on a second data set corresponding to an aspect of a second biological sample known to contain avian influenza virus, generating an algorithm value cache for the first data set by running a second series of algorithms on the first data set, generating a match result by comparing the algorithm value cache with the results of the first series of algorithms, and performing a processing action based on the generated match result.
摘要翻译：在与生物样品的一个方面对应的数据集中自动模式识别和检测禽流感病毒的系统和方法。该方法包括接收对应于第一生物样本的第一方面的第一数据集，使用对应于已知包含的第二生物样本的一个方面的第二数据集处理的第一系列算法的结果来分析第一数据集禽流感病毒，通过在第一数据集上运行第二系列算法来生成第一数据集的算法值缓存，通过将算法值缓存与第一系列算法的结果进行比较来生成匹配结果，并执行基于生成的匹配结果处理动作。

90. 发明授权

US07840359B2 Measuring and analyzing multi-dimensional sensory information for identification purposes 有权
标题翻译：测量和分析多维感官信息进行识别
公开(公告)号：US07840359B2
公开(公告)日：2010-11-23
申请号：US12382671
申请日：2009-03-20
申请人： Chang-Meng B. Hsiung , Jing Li , Beth Munoz , Ajoy K. Roy , Michael G. Steinthal , Steven A. Sunshine , Michael A. Vicic , Shou-Hua Zhang
发明人： Chang-Meng B. Hsiung , Jing Li , Beth Munoz , Ajoy K. Roy , Michael G. Steinthal , Steven A. Sunshine , Michael A. Vicic , Shou-Hua Zhang
IPC分类号： G01N31/00
CPC分类号： G06K9/6253 , G01N33/0031 , G06K9/00
摘要： Methods and systems are provides for measuring multi-dimensional sensing information for identification purposes. The identity of one or more substances is determined through analysis of multidimensional data that can include, among others, intrinsic information as well as extrinsic information. The method for identification of a substance comprises utilizing pattern recognition to form descriptors to identify characteristics of the substance. A system and computer program for performing analysis of the multidimensional data are also described.
摘要翻译：方法和系统提供用于测量用于识别目的的多维感测信息。通过分析多维数据来确定一种或多种物质的身份，多维数据可以包括固有信息以及外在信息。用于物质鉴定的方法包括利用模式识别形成描述符以识别物质的特征。还描述了用于执行多维数据分析的系统和计算机程序。

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