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    Optimal taxonomy layer selection method
    1.
    发明授权
    Optimal taxonomy layer selection method 有权
    最佳分类层选择方法

    公开(公告)号：US07640220B2

    公开(公告)日：2009-12-29

    申请号：US11457095

    申请日：2006-07-12

    Applicant: Chiranjit Acharya

    Inventor： Chiranjit Acharya

    IPC: G06N1/00 ,  G06N7/00

    CPC classification number: G06F17/30598 ,  G06K9/6219 ,  G06N99/00

    Abstract: A computerized method of representing a dataset with an optimal layer of a taxonomy includes obtaining a taxonomy including a hierarchical arrangement of layers, wherein each layer represents a cluster set containing at least one cluster, wherein each cluster represents at least one record within a dataset; identifying a range of taxonomy layers based on a measure of intra-cluster homogeneity of each cluster within the taxonomy; selecting a taxonomy layer within the identified range as an optimal layer of the taxonomy, the selecting being based on a measure of inter-cluster heterogeneity between clusters of a taxonomy layer within the identified range; and labeling clusters within the optimal layer of the taxonomy.

    Abstract translation: 用分类法的最佳层表示数据集的计算机化方法包括获得包括层的分层布置的分类法，其中每个层表示包含至少一个簇的簇集，其中每个簇表示数据集内的至少一个记录; 基于分类法中每个群集的群内同质性的度量来识别一系列分类层; 在所识别的范围内选择分类层作为分类学的最佳层，所述选择基于在所识别的范围内的分类层之间的群间异质性的度量; 并在分类法的最佳层内标记集群。

    Methods for single qubit gate teleportation
    2.
    发明授权
    Methods for single qubit gate teleportation 有权
    单量子位门传送方法

    公开(公告)号：US07018852B2

    公开(公告)日：2006-03-28

    申请号：US10628128

    申请日：2003-07-25

    Applicant: Lian-Ao Wu ,  Daniel Lidar ,  Alexandre Blais

    Inventor： Lian-Ao Wu ,  Daniel Lidar ,  Alexandre Blais

    IPC: G06F11/08 ,  H01L21/00 ,  G06N1/00

    CPC classification number: G06N99/002 ,  B82Y10/00 ,  H04L9/0852 ,  H04L2209/34 ,  Y10S438/962 ,  Y10S977/933

    Abstract: A method for performing a single-qubit gate on an arbitrary quantum state. An ancillary qubit is set to an initial state |I>. The data qubit is coupled to an ancillary qubit. The state of the ancillary qubit is measured, and the data qubit and the ancillary qubit are coupled for a first period of time. A method for applying a single-qubit gate to an arbitrary quantum state. A state of a first and second ancillary qubit are set to an entangled initial state |I>. A state of a data qubit and the first ancillary qubit are measured thereby potentially performing a single qubit operation on the arbitrary quantum state. A first result is determined. The first result indicates whether the single qubit operation applied the single qubit gate to the arbitrary quantum state.

    Abstract translation: 一种在任意量子态执行单量子位门的方法。 辅助量子位设置为初始状态| I>。 数据量子位耦合到辅助量子位。 测量辅助量子位的状态，数据量子位和辅助量子位在第一个时间段内耦合。 一种将单量子位栅极应用于任意量子态的方法。 第一和第二辅助量子位的状态被设置为纠缠的初始状态| I>。 测量数据量子位和第一辅助量子位的状态，从而潜在地对任意量子态执行单个量子位操作。 确定第一个结果。 第一个结果表明单个量子比特操作是否将单个量子位门应用于任意量子态。

    Building market models
    3.
    发明申请
    Building market models 有权
    建立市场模式

    公开(公告)号：US20090024445A1

    公开(公告)日：2009-01-22

    申请号：US11879977

    申请日：2007-07-19

    Applicant: Jerry Z. Shan

    Inventor： Jerry Z. Shan

    IPC: G06N1/00

    CPC classification number: G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0206

    Abstract: A trend of attributes associated with plural market participants is determined. A representation of the trend is computed, and market models for the market participants are built according to the representation of the trend.

    Abstract translation: 确定与多个市场参与者相关联的属性的趋势。 计算趋势的代表，并根据趋势的表示构建市场参与者的市场模型。

    Method and system for managing multi-field classification rules relating to ingress contexts and egress contexts
    5.
    发明申请
    Method and system for managing multi-field classification rules relating to ingress contexts and egress contexts 失效
    用于管理与入口上下文和出口上下文相关的多字段分类规则的方法和系统

    公开(公告)号：US20050237939A1

    公开(公告)日：2005-10-27

    申请号：US10832958

    申请日：2004-04-27

    Applicant: Everett Corl ,  Gordon Davis ,  Marco Heddes ,  Piyush Patel ,  Ravinder Sabhikhi

    Inventor： Everett Corl ,  Gordon Davis ,  Marco Heddes ,  Piyush Patel ,  Ravinder Sabhikhi

    IPC: G06F15/00 ,  G06F15/18 ,  G06F17/00 ,  G06N5/02 ,  G06N99/00 ,  H04J3/14 ,  H04L12/26 ,  G06N1/00

    CPC classification number: G06N99/005

    Abstract: The present invention relates to a method and system for managing a plurality of multi-field classification rules. The method includes providing a first table that includes a plurality of entries corresponding to a plurality of rules relating to an ingress context and providing a second table that includes a plurality of entries corresponding to a plurality of rules relating to an egress context. The method also includes utilizing the first table and the second table to identify any rules relating to the ingress context and any rules relating to the egress context that match a search key.

    Abstract translation: 本发明涉及一种用于管理多个多场分类规则的方法和系统。 该方法包括提供第一表格，该第一表格包括对应于与入口上下文有关的多个规则的多个条目，并提供第二表格，该第二表格包括对应于与出口上下文有关的多个规则的多个条目。 该方法还包括利用第一表和第二表来识别与入口上下文有关的任何规则以及与搜索关键字匹配的出口上下文相关的任何规则。

    Signature generation for multimedia deep-content-classification by a large-scale matching system and method thereof
    6.
    发明授权
    Signature generation for multimedia deep-content-classification by a large-scale matching system and method thereof 有权
    通过大规模匹配系统进行多媒体深度内容分类的签名生成及其方法

    公开(公告)号：US08990125B2

    公开(公告)日：2015-03-24

    申请号：US13682132

    申请日：2012-11-20

    Applicant: Cortica, Ltd.

    Inventor： Igal Raichelgauz ,  Karina Ordinaev ,  Yehoshua Y. Zeevi

    IPC: G06G7/00 ,  G06E1/00 ,  G06E3/00 ,  G06F15/00 ,  G06N1/00 ,  G06F17/30 ,  G06K9/00 ,  G10L15/26 ,  G10L15/32

    CPC classification number: G06F17/30595 ,  G06F17/3002 ,  G06F17/30026 ,  G06F17/30047 ,  G06F17/30743 ,  G06F17/30746 ,  G06F17/30787 ,  G06F17/30796 ,  G06F17/30799 ,  G06K9/00744 ,  G10L15/26 ,  G10L15/265 ,  G10L15/32

    Abstract: Content-based clustering, recognition, classification and search of high volumes of multimedia data in real-time. The embodiments disclosed herein are dedicated to real-time fast generation of signatures to high-volume of multimedia content-segments, based on relevant audio and visual signals, and to scalable matching of signatures of high-volume database of content-segments' signatures. The embodiments disclosed herein can be implemented in any applications which involve large-scale content-based clustering, recognition and classification of multimedia data, such as, content-tracking, video filtering, multimedia taxonomy generation, video fingerprinting, speech-to-text, audio classification, object recognition, video search and any other application requiring content-based signatures generation and matching for large content volumes such as, web and other large-scale databases.

    Abstract translation: 基于内容的聚类，识别，分类和实时搜索大量的多媒体数据。 本文公开的实施例专用于基于相关音频和视觉信号对大量多媒体内容片段进行签名的实时快速生成，以及内容片段签名的大容量数据库的签名的可缩放匹配。 本文公开的实施例可以在涉及基于大规模内容的聚类，多媒体数据的识别和分类的任何应用中实现，诸如内容跟踪，视频过滤，多媒体分类生成，视频指纹识别，语音对文本， 音频分类，对象识别，视频搜索和任何其他需要基于内容的签名生成和匹配大型内容卷（如Web和其他大型数据库）的应用程序。

    Embedded health monitoring system based upon Optimized Neuro Genetic Fast Estimator (ONGFE)
    7.
    发明授权
    Embedded health monitoring system based upon Optimized Neuro Genetic Fast Estimator (ONGFE) 有权
    基于优化神经遗传快速估计器（ONGFE）的嵌入式健康监测系统

    公开(公告)号：US08510234B2

    公开(公告)日：2013-08-13

    申请号：US12930418

    申请日：2011-01-05

    Applicant: Francisco J. Maldonado Diaz ,  Ching-Fang Lin

    Inventor： Francisco J. Maldonado Diaz ,  Ching-Fang Lin

    IPC: G06G7/00 ,  G06E1/00 ,  G06E3/00 ,  G06F15/00 ,  G06N1/00

    CPC classification number: G06N3/086

    Abstract: A real time kernel for deploying health monitoring functions in Condition Base Maintenance (CBM) and Real Time Monitoring (RTM) systems is disclosed in this invention. The Optimized Neuro Genetic Fast Estimator (ONGFE) allows embedding failure detection, identification, and prognostics (FDI&P) capability by using Intelligent Software Element (ISE) based upon Artificial Neural Network (ANN). ONGFE enables embedded fast and on-line training for designing ANNs, which perform very high performance FDI&P functions. An advantage is the optimization block based on pseudogenetic algorithms, which compensate for effects due to initial weight values and local minimums without the computational burden of genetic algorithms. It provides a synchronization block for communication with secondary diagnostic modules. Also a scheme for conducting sensor data validation is embedded in Smart Sensors (SS). The algorithms are designed for a distributed, scalar, and modular deployment. The system electronics is built upon a network of smart sensors and a health monitoring computer for providing data acquisition capability and distributed computational power.

    Abstract translation: 在本发明中公开了一种用于在条件库维护（CBM）和实时监控（RTM）系统中部署健康监控功能的实时内核。 优化的神经遗传快速估计器（ONGFE）通过使用基于人工神经网络（ANN）的智能软件元素（ISE），允许嵌入失败检测，识别和预测（FDI＆P）能力。 ONGFE可以进行嵌入式快速和在线培训，用于设计执行非常高性能的FDI和P功能的ANN。 优点是基于假基因算法的优化块，其补偿由初始权重值和局部最小值引起的影响，而没有遗传算法的计算负担。 它提供了一个用于与辅助诊断模块通信的同步块。 传感器数据验证方案也嵌入在智能传感器（SS）中。 算法设计用于分布式，标量化和模块化部署。 系统电子设备基于智能传感器网络和健康监控计算机，用于提供数据采集能力和分布式计算能力。

    Web service agent
    8.
    发明授权
    Web service agent 有权
    Web服务代理

    公开(公告)号：US07440940B2

    公开(公告)日：2008-10-21

    申请号：US10308874

    申请日：2002-12-02

    Applicant: Ye Chen ,  Hartmut K. Vogler ,  Christian Drumm ,  Kaj Van De Loo ,  Claudius Link

    Inventor： Ye Chen ,  Hartmut K. Vogler ,  Christian Drumm ,  Kaj Van De Loo ,  Claudius Link

    IPC: G06F7/00 ,  G06F17/30 ,  G06F15/00 ,  G06E1/00 ,  G06E3/00 ,  G06G7/00 ,  G06N1/00 ,  G06F15/16

    CPC classification number: G06F17/3089 ,  H04L67/02 ,  H04L69/08 ,  Y10S707/99933 ,  Y10S707/99934

    Abstract: Methods and apparatus, including computer program products, implementing and using techniques for providing a web service agent application. The web service agent application has a communication module and a processing module. The communication module receives requests from one or more web service applications or one or more adaptive agent applications; and transmits responses to one or more web service applications or one or more adaptive agent applications. The processing module receives a request for information from the communication module; identifies a resource that can fulfill the request for information; obtains a response to the request from the identified resource; and delivers the response to the request to the communication module.

    Abstract translation: 方法和装置，包括计算机程序产品，用于提供Web服务代理应用程序的实施和使用技术。 Web服务代理应用具有通信模块和处理模块。 通信模块接收来自一个或多个web服务应用或一个或多个自适应代理应用的请求; 并且向一个或多个web服务应用或一个或多个自适应代理应用发送响应。 处理模块从通信模块接收信息请求; 识别可以满足信息请求的资源; 从所识别的资源获得对请求的响应; 并将对请求的响应传递给通信模块。

    Assisted form filling
    9.
    发明授权
    Assisted form filling 有权
    辅助表格填写

    公开(公告)号：US07426496B2

    公开(公告)日：2008-09-16

    申请号：US10792519

    申请日：2004-03-03

    Applicant: Trausti T. Kristjansson

    Inventor： Trausti T. Kristjansson

    IPC: G06E1/00 ,  G06E3/00 ,  G06F15/00 ,  G06G7/00 ,  G06N1/00

    CPC classification number: G06F17/243

    Abstract: Systems and methods are described that facilitate assisting a user in filling forms. The invention can parse untagged media, such as email, etc., to identify elements that can be employed to populate a form. Identified elements can be automatically inserted into corresponding fields in a form, and status indicators can be associated therewith and indicated to a user in order to alert the user that review of a particular field in the form is warranted. Additionally, the untagged media and the form can be concurrently presented to the user to facilitate user supervision and/or interaction during assisted form filling.

    Abstract translation: 描述了便于辅助用户填充表格的系统和方法。 本发明可以解析诸如电子邮件等的未标记的媒体，以识别可用于填充表单的元素。 识别的元素可以被自动地插入到表单中的相应字段中，并且可以将状态指示符与其相关联并且向用户指示，以便警告用户对该形式的特定字段的审查是有保证的。 此外，可以将未标记的介质和形式同时呈现给用户以促进用户在辅助表单填充期间的监督和/或交互。

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