Fade-in and fade-out temporal segments
    21.
    发明授权
    Fade-in and fade-out temporal segments 有权
    淡入淡出的时间段

    公开(公告)号:US06606409B2

    公开(公告)日:2003-08-12

    申请号:US09777450

    申请日:2001-02-06

    Abstract: A method for performing content-based temporal segmentation of video sequences, the method comprises the steps of transmitting the video sequence to a processor; identifying within the video sequence a plurality of type-specific individual temporal segments using a plurality of type-specific detectors; analyzing and refining the plurality of type-specific individual temporal segments identified in the identifying the plurality of type-specific individual temporal segments step; and outputting a list of locations within the video sequence of the identified type-specific individual temporal segments.

    Abstract translation: 一种用于执行视频序列的基于内容的时间分割的方法,所述方法包括以下步骤:将视频序列发送到处理器; 使用多个类型特定检测器在视频序列内识别多个类型特定的单个时间段; 分析和细化在识别多个类型特定的单个时间段步骤中识别的多个类型特定的个体时间段; 以及输出所识别的类型特定的单个时间段的视频序列内的位置列表。

    Anomaly detection for road user charging systems
    22.
    发明授权
    Anomaly detection for road user charging systems 有权
    道路用户充电系统异常检测

    公开(公告)号:US09261375B2

    公开(公告)日:2016-02-16

    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。

    Utility consumption disaggregation using low sample rate smart meters
    23.
    发明授权
    Utility consumption disaggregation using low sample rate smart meters 有权
    低采样率智能电表的耗电分解

    公开(公告)号:US09256908B2

    公开(公告)日:2016-02-09

    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。

    Behavior change detection
    24.
    发明授权
    Behavior change detection 有权
    行为变化检测

    公开(公告)号:US09171339B2

    公开(公告)日:2015-10-27

    申请号:US13288716

    申请日:2011-11-03

    CPC classification number: G06Q50/06

    Abstract: A computer program product includes a tangible storage medium readable by a processing circuit and on which instructions are stored for execution by the processing circuit for performing a method. The method includes, upon receiving utility consumption data of a group of elements, defining clusters of elements by like geography and like utility consumption, evaluating a significance of each cluster by comparing an average utility consumption within the cluster with utility consumption of elements neighboring the cluster and determining from a result of the evaluating which clusters exhibit significant differences in utility consumption from the neighboring elements and defining those clusters as regional outliers.

    Abstract translation: 计算机程序产品包括可由处理电路读取的有形存储介质,并且在哪个指令被存储以供处理电路执行以执行方法。 该方法包括:在接收到一组元素的公用事业消耗数据时,通过类似的地理位置和类似的公用事业消耗来定义元素簇,通过将集群内的平均效用消耗与邻近集群的元素的公用消费进行比较来评估每个集群的重要性 并从评估结果中确定哪些集群表现出与相邻元素的效用消耗的​​显着差异,并将这些集群定义为区域异常值。

    Method and apparatus for resource allocation among classifiers in classification systems
    25.
    发明授权
    Method and apparatus for resource allocation among classifiers in classification systems 有权
    分类系统中分类器之间资源分配的方法和装置

    公开(公告)号:US08165983B2

    公开(公告)日:2012-04-24

    申请号:US12054955

    申请日:2008-03-25

    CPC classification number: G06F9/50 G06N99/005

    Abstract: Methods and apparatus for optimizing resource allocation among data analysis functions in a classification system are provided. Each of the data analysis functions is characterized as a set of operating points in accordance with at least one of resource requirements and analysis quality. An operating point for each of the data analysis functions is selected in accordance with one or more constraints. The analysis functions are applied at selected operating points to optimize resource allocation among the data analysis functions in the classification system.

    Abstract translation: 提供了一种用于优化分类系统中数据分析功能之间的资源分配的方法和装置。 根据资源需求和分析质量中的至少一个,每个数据分析功能被表征为一组操作点。 根据一个或多个约束来选择每个数据分析功能的操作点。 分析功能应用于所选择的操作点,以优化分类系统中数据分析功能之间的资源分配。

    Targeted Enforcement For Road User Charging
    26.
    发明申请
    Targeted Enforcement For Road User Charging 审中-公开
    道路用户充电的有针对性的执法

    公开(公告)号:US20110241899A1

    公开(公告)日:2011-10-06

    申请号:US12752578

    申请日:2010-04-01

    CPC classification number: G07B15/063 G08G1/017

    Abstract: A method is disclosed that includes, for a set of passages of a vehicle, where each passage is associated with at least one confidence level, applying at least one heuristic to confidence levels corresponding to the set to determine at least one score. The method also includes performing the applying at least one heuristic for a number of sets of passages of a number of vehicles and selecting a number of the sets based on their associated at least one scores. The method additionally includes outputting identifications corresponding to each of the selected sets. Apparatus and computer readable media are also disclosed.

    Abstract translation: 公开了一种方法,其包括对于车辆的一组通道,其中每个通道与至少一个置信水平相关联,将至少一个启发式应用于对应于该组的置信水平以确定至少一个得分。 该方法还包括对多个车辆的多个通道集合执行至少一个启发式应用,并且基于它们相关联的至少一个分数选择多个集合。 该方法还包括输出与每个所选集合相对应的标识。 还公开了装置和计算机可读介质。

    PRIORITIZING LOANS USING CUSTOMER, PRODUCT AND WORKFLOW ATTRIBUTES
    27.
    发明申请
    PRIORITIZING LOANS USING CUSTOMER, PRODUCT AND WORKFLOW ATTRIBUTES 审中-公开
    优先使用客户,产品和工作流程的贷款

    公开(公告)号:US20110078071A1

    公开(公告)日:2011-03-31

    申请号:US12567064

    申请日:2009-09-25

    CPC classification number: G06Q40/02 G06Q40/025

    Abstract: Data representative of a plurality of mortgage applications is obtained. The applications participate in a mortgage origination process, and each of the applications has associated therewith customer-specific attributes and product-specific attributes. The mortgage origination process has a plurality of statuses. Data representative of at least one environmental attribute is also obtained. Each given one of the mortgage applications in a given one of the plurality of statuses at a given time is ranked by likelihood of not closing, based at least on the customer-specific attributes, the product-specific attributes, and the at least one environmental attribute. Those of the mortgage applications likely not to close which are likely not to close due to non-exogenous attributes are identified. For at least some of the mortgage applications likely not to close due to non-exogenous attributes, suggestion of a modification of at least one corresponding one of the product-specific attributes is facilitated, to enhance the likelihood of closing.

    Abstract translation: 获得代表多个按揭申请的数据。 应用程序参与抵押发起过程,并且每个应用程序都与客户特定的属性和产品特定属性相关联。 抵押发起过程有多种状态。 还获得了表示至少一个环境属性的数据。 至少基于顾客特定的属性,产品特定属性和至少一个环境中的给定时间内的给定的多个状态中的给定一个抵押贷款申请中的每个给定的一个抵押贷款申请按照不关闭的可能性进行排序 属性。 确定由于非外生属性可能不会关闭的抵押贷款申请可能不会收回的。 对于由于非外生属性而言,至少一些抵押贷款申请可能不会关闭,促进对产品特定属性中的至少一个对应的修改的建议,以增加关闭的可能性。

    Computer program product and system for autonomous classification
    28.
    发明授权
    Computer program product and system for autonomous classification 有权
    计算机程序产品和系统进行自主分类

    公开(公告)号:US07792768B2

    公开(公告)日:2010-09-07

    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。

    Computer-implemented method, system, and program product for developing a content annotation lexicon
    29.
    发明授权
    Computer-implemented method, system, and program product for developing a content annotation lexicon 失效
    用于开发内容注释词典的计算机实现的方法,系统和程序产品

    公开(公告)号:US07539934B2

    公开(公告)日:2009-05-26

    申请号:US11157035

    申请日:2005-06-20

    CPC classification number: G06F17/30731

    Abstract: A method, system and program product developing an annotation lexicon are described. Under aspects of the present invention, annotation(s) to piece(s) of content are received and analyzed using one or more computational analyses. Based on the analyses, feedback will be generated to improve the annotation lexicon and/or the ontology thereof. Such improvement can lead to, among other things: the re-arrangement of interrelationships of terms in the annotation lexicon; the addition, modification or deletion of terms from the annotation lexicon; the re-arrangement or clustering of terms within the annotation lexicon; etc.

    Abstract translation: 描述了开发注释词典的方法,系统和程序产品。 在本发明的方面,使用一个或多个计算分析来接收和分析内容片段的注释。 基于分析,将产生反馈以改进注释词典和/或其本体。 这种改进可以导致:重新安排注释词典中术语的相互关系; 从注释词典中添加,修改或删除术语; 注释词汇中术语的重新排列或聚类; 等等

    IDENTIFYING PURPOSE-BASED ORIGIN-DESTINATION USING CALL DETAILED RECORDS
    30.
    发明申请
    IDENTIFYING PURPOSE-BASED ORIGIN-DESTINATION USING CALL DETAILED RECORDS 有权
    使用CALL详细记录识别基于目的的原始目的地

    公开(公告)号:US20130304363A1

    公开(公告)日:2013-11-14

    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。

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