METHOD AND COMPUTER PROGRAM PRODUCT FOR COLLECTION-BASED ITERATIVE REFINEMENT OF SEMANTIC ASSOCIATIONS ACCORDING TO GRANULARITY
    1.
    发明申请
    METHOD AND COMPUTER PROGRAM PRODUCT FOR COLLECTION-BASED ITERATIVE REFINEMENT OF SEMANTIC ASSOCIATIONS ACCORDING TO GRANULARITY 审中-公开
    基于收集的方法和计算机程序产品根据格式的语义协会

    公开(公告)号:US20080005159A1

    公开(公告)日:2008-01-03

    申请号:US11427101

    申请日:2006-06-28

    CPC classification number: G06F16/319

    Abstract: A computer implemented method and computer program product for automatically building semantic associations within a database of unstructured information includes an algorithm for mapping data within the unstructured information and iteratively improving semantic labels for association with the data, until such point as associations pass a convergence test and then the semantic associations are made.

    Abstract translation: 一种用于在非结构化信息的数据库内自动建立语义关联的计算机实现的方法和计算机程序产品包括用于映射非结构化信息内的数据并迭代地改进与数据相关联的语义标签的算法,直到关联通过收敛测试为止, 然后进行语义关联。

    Identifying purpose-based origin-destination using call detailed records
    2.
    发明授权
    Identifying purpose-based origin-destination using call detailed records 有权
    使用呼叫详细记录识别基于目的的起始目的地

    公开(公告)号:US09042908B2

    公开(公告)日:2015-05-26

    申请号:US13467035

    申请日:2012-05-08

    CPC classification number: G08G1/012 H04M15/58

    Abstract: Access is obtained to call data records (or other data) for a plurality of mobile telephony users. The call data records (or other data) include location-time sequences. For each of the mobile telephony users, corresponding ones of the location-time sequences are segmented into trips; a home-work-school classification model is used to determine a home location and a work-school location, based on the trips; and a trip purpose classification model is used to assign each of the trips a purpose label, based at least on comparing at least one of a start location and an end location for each one of the trips to at least one of the home location and the work-school location determined using the home-work-school classification model. The trips are aggregated into purpose based origin-destination categories based at least on the purpose labels, time ranges of the location-time sequences, and the start and end locations.

    Abstract translation: 获得访问以呼叫多个移动电话用户的数据记录(或其他数据)。 呼叫数据记录(或其他数据)包括位置时间序列。 对于每个移动电话用户,将相应的位置时间序列分段为行程; 家庭工作学校分类模型用于根据旅行情况确定住所和工作地点; 并且旅行目的分类模型用于将每个行程分配目的标签,至少基于将每个行程的起始位置和结束位置中的至少一个比较到本地位置和 使用家庭工作学校分类模型确定工作学校的位置。 至少基于目的标签,位置 - 时间序列的时间范围以及开始和结束位置,将旅行聚合到基于目的的起始 - 目的地类别。

    Cross descriptor learning system, method and program product therefor
    4.
    发明授权
    Cross descriptor learning system, method and program product therefor 有权
    交叉描述学习系统,方法和程序产品

    公开(公告)号:US08214310B2

    公开(公告)日:2012-07-03

    申请号:US11131608

    申请日:2005-05-18

    CPC classification number: G06F17/30705 G06F17/30038 G06F17/30943 G06N99/005

    Abstract: A cross descriptor learning system, method and program product therefor. The system extracts descriptors from unlabeled exemplars. For each unlabeled exemplar, a cross predictor uses each descriptor to generate labels for other descriptor. An automatic label generator also generates labels for the same unlabeled exemplars or, optionally, for labeled exemplars. A label predictor results for each descriptor by combining labels from the cross predictor with labels from the automatic label generator.

    Abstract translation: 交叉描述学习系统,方法和程序产品。 系统从未标记的样本中提取描述符。 对于每个未标记的示例,交叉预测器使用每个描述符来生成其他描述符的标签。 自动标签生成器还生成相同的未标记样品的标签,或者可选地,用于标记的样品。 通过将来自交叉预测器的标签与来自自动标签生成器的标签相结合,为每个描述符生成标签预测器。

    COMPUTER-IMPLEMENTED METHOD, SYSTEM, AND PROGRAM PRODUCT FOR TRACKING CONTENT
    5.
    发明申请
    COMPUTER-IMPLEMENTED METHOD, SYSTEM, AND PROGRAM PRODUCT FOR TRACKING CONTENT 审中-公开
    用于跟踪内容的计算机实现的方法,系统和程序产品

    公开(公告)号:US20080294633A1

    公开(公告)日:2008-11-27

    申请号:US12169127

    申请日:2008-07-08

    CPC classification number: G06F16/40

    Abstract: A system, method, and program product for tracking content are described. Aspects of invention allow bodies of content, whether from a common channel or from different channels, to be compared for relatedness. Comparison of different bodies of content involves analyzing both the actual content, characteristics of the source(s) of the content, and optionally, elapsed time between their respective broadcasts/communications. To this extent, a content similarity value, a source characteristic value and an optional temporal value for the portions of content are determined, and then used to compute a relatedness value of the (bodies of) content.

    Abstract translation: 描述了用于跟踪内容的系统,方法和程序产品。 本发明的各个方面允许将内容的主体,不管是从公共信道还是从不同的信道,进行相关性的比较。 不同内容的比较涉及分析实际内容,内容的源的特征,以及可选地,各自的广播/通信之间的经过时间。 在这种程度上,确定内容部分的内容相似性值,源特征值和可选时间值,然后用于计算内容的(主体)的相关性值。

    Collaborative networking with optimized information quality assessment
    6.
    发明授权
    Collaborative networking with optimized information quality assessment 失效
    协同网络优化信息质量评估

    公开(公告)号:US08527447B2

    公开(公告)日:2013-09-03

    申请号:US12709765

    申请日:2010-02-22

    CPC classification number: G06Q30/02

    Abstract: A method for implementing information quality assessment includes receiving a value relating to a predicted outcome of an event from each of an entity and at least one other entity and a reputation score for the entity and the other entity. The method also includes generating a collective prediction value for the event that reflects a collective prediction for the event. The collective prediction value is generated from predicted outcome values from the entity and the other entity. The collective prediction value is calculated as a function of reputation scores corresponding to the entity and the other entity.

    Abstract translation: 用于实现信息质量评估的方法包括从实体和至少一个其他实体的每一个接收与事件的预测结果相关的值,以及用于该实体和另一个实体的信誉分数。 该方法还包括为反映事件的集体预测的事件生成集体预测值。 集体预测值是从实体和其他实体的预测结果值生成的。 集体预测值被计算为与实体和另一实体对应的信誉评分的函数。

    UTILITY CONSUMPTION DISAGGREGATION USING LOW SAMPLE RATE SMART METERS
    7.
    发明申请
    UTILITY CONSUMPTION DISAGGREGATION USING LOW SAMPLE RATE SMART METERS 有权
    使用低样本速率智能测量仪的实用消费分析

    公开(公告)号:US20130103215A1

    公开(公告)日:2013-04-25

    申请号:US13588634

    申请日:2012-08-17

    CPC classification number: G06Q50/06

    Abstract: Utility meter readings generated at low sampling rates are disaggregated to identify consumer usage activities. Time intervals between readings can include a plurality of consumer usage activities. By employing a model which recognizes associations among consumer usage activities, effective disaggregation is possible using only aggregated consumption data and interval start times. Consumers and utility managers can design and assess conservation programs based on the disaggregated consumption usage activities.

    Abstract translation: 以低采样率生成的公用事业仪表读数被分解,以确定消费者的使用活动。 阅读之间的时间间隔可以包括多个消费者使用活动。 通过使用识别消费者使用活动之间的关联的模型,可以仅使用聚合消费数据和间隔开始时间来进行有效分解。 消费者和公用事业管理人员可以根据分解的消费使用活动来设计和评估保护计划。

    Anomaly Detection For Road User Charging System
    8.
    发明申请
    Anomaly Detection For Road User Charging System 有权
    道路用户充电系统异常检测

    公开(公告)号:US20110246058A1

    公开(公告)日:2011-10-06

    申请号:US12752524

    申请日:2010-04-01

    CPC classification number: G01C21/3453 G07B15/06 G07B15/063 G08G1/096827

    Abstract: A computer readable medium embodies a program of machine-readable instructions executable by a processing apparatus to perform operations including determining information corresponding to a number of differences in distances between ending points of journeys taken by a vehicle and starting points of consecutive journeys taken by the vehicle, and transmitting one or more representations of the information. Another computer readable medium tangibly includes instructions for, for each of a number of vehicles, receiving one or more scores corresponding to a vehicle, and determining a ranked list containing at least a portion of the scores, and outputting the ranked list. Another computer readable medium includes instructions for, for each of a number of vehicles, receiving information corresponding to a vehicle, using one or more metrics, calculating one or more values from the received information, and communicating one or more representations of the one or more value to one or more entities.

    Abstract translation: 计算机可读介质体现了可由处理装置执行的机器可读指令的程序,以执行操作,其包括确定对应于由车辆行驶的行程终点之间的距离的差异的数量和车辆所采取的连续行程的起始点的信息 并且传送信息的一个或多个表示。 另一种计算机可读介质有形地包括针对多个车辆中的每一个接收与车辆相对应的一个或多个分数以及确定包含至少一部分分数的排序列表并输出排序列表的指令。 另一计算机可读介质包括用于对于多个车辆中的每一个接收与车辆相对应的信息的指令,使用一个或多个度量,从所接收的信息中计算一个或多个值,以及传送所述一个或多个 值到一个或多个实体。

    Method and apparatus for classifying multimedia artifacts using ontology selection and semantic classification
    9.
    发明授权
    Method and apparatus for classifying multimedia artifacts using ontology selection and semantic classification 有权
    使用本体选择和语义分类对多媒体文物进行分类的方法和装置

    公开(公告)号:US07707162B2

    公开(公告)日:2010-04-27

    申请号:US11620838

    申请日:2007-01-08

    CPC classification number: G06F17/30707 G06F17/30038 Y10S707/99944

    Abstract: A method and apparatus is provided for automatically classifying a multimedia artifact based on scoring, and selecting the appropriate set of ontologies from among all possible sets of ontologies, preferably using a recursive routing selection technique. The semantic tagging of the multimedia artifact is enhanced by applying only classifiers from the selected ontology, for use in classifying the multimedia artifact, wherein the classifiers are selected based on the context of the multimedia artifact. One embodiment of the invention, directed to a method for classifying a multimedia artifact, uses a specified criteria to select one or more ontologies, wherein the specified criteria indicates the comparative similarity between specified characteristics of the multimedia artifact and each ontology. The method further comprises scoring and selecting one or more classifiers from a plurality of classifiers that respectively correspond to semantic element of the selected ontologies, and evaluating the multimedia artifact using the selected classifiers to determine a classification for the multimedia artifact.

    Abstract translation: 提供了一种方法和装置,用于基于评分来自动分类多媒体伪影,并且优选地使用递归路由选择技术从所有可能的本体集合中选择适当的本体集合。 通过仅从所选择的本体应用分类器来增强多媒体伪像的语义标记,用于对多媒体伪影进行分类,其中基于多媒体伪影的上下文来选择分类器。 本发明的一个实施例涉及一种用于分类多媒体伪影的方法,使用指定的标准来选择一个或多个本体,其中,所指定的标准表示多媒体伪影的特定特征与每个本体之间的比较相似度。 该方法还包括从分别对应于所选本体的语义元素的多个分类器中对一个或多个分类器进行评分和选择,以及使用所选择的分类器来评估多媒体伪影以确定多媒体伪像的分类。

    Computer Program Product and System for Autonomous Classification
    10.
    发明申请
    Computer Program Product and System for Autonomous Classification 有权
    计算机程序产品和自动分类系统

    公开(公告)号:US20090037358A1

    公开(公告)日:2009-02-05

    申请号:US12205548

    申请日:2008-09-05

    CPC classification number: G06N99/005

    Abstract: An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment.

    Abstract translation: 一种自主分类装置,能够创建易于部署,适应和优化的自主分类器。 分类器是自主的,因为它可以执行定义自主系统的三个功能:在环境中自动配置自身,使用环境和性能机制优化其性能,并不断适应改善性能并在不断变化的环境中治愈自身。

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