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1. 发明公开

EP2738716A2 Probabilistic relational data analysis 审中-公开
标题翻译： Probabilistische Bezugsdatenanalyse
公开(公告)号：EP2738716A2
公开(公告)日：2014-06-04
申请号：EP13195149.3
申请日：2013-11-29
申请人： Xerox Corporation
发明人： Guo, Shengbo , Chidlovskii, Boris , Archambeau, Cedric , Bouchard, Guillaume , Yin, Dawei
IPC分类号： G06N7/00
CPC分类号： G06F17/18 , G06N7/005
摘要： A multi-relational data set is represented by a probabilistic multi-relational data model in which each entity of the multi-relational data set is represented by a D-dimensional latent feature vector. The probabilistic multi-relational data model is trained using a collection of observations of relations between entities of the multi-relational data set. The collection of observations includes observations of at least two different relation types. A prediction is generated for an observation of a relation between two or more entities of the multi-relational data set based on a dot product of the optimized D-dimensional latent feature vectors representing the two or more entities. The training may comprise optimizing the D-dimensional latent feature vectors to maximize likelihood of the collection of observations, for example by Bayesian inference performed using Gibbs sampling.
摘要翻译：多关系数据集由概率多关系数据模型表示，其中多关系数据集的每个实体由D维潜在特征向量表示。使用多关系数据集的实体之间的关系观察的集合来训练概率多关系数据模型。观察的收集包括至少两种不同关系类型的观察。基于表示两个或更多个实体的优化的D维潜在特征向量的积积，产生用于观察多关系数据集的两个或多个实体之间的关系的预测。该训练可以包括优化D维潜在特征向量以最大化观测收集的可能性，例如通过使用吉布斯抽样执行的贝叶斯推理。

2. 发明公开

EP2261816A2 Split variational inference 审中-公开
标题翻译：斯普利特Variationsinferenz
公开(公告)号：EP2261816A2
公开(公告)日：2010-12-15
申请号：EP10165368.1
申请日：2010-06-09
申请人： Xerox Corporation
发明人： Bouchard, Guillaume , Zoeter, Onno
IPC分类号： G06F17/10
CPC分类号： G06F17/10 , G06K9/6221
摘要： ] A method comprises: partitioning a region of interest into a plurality of soft bin regions that span the region of interest; estimating an integral over each soft bin region of a function defined over the region of interest; and outputting a value equal to or derived from the sum of the estimated integrals over the soft bin regions spanning the region of interest. The method may further comprise: integrating a Bayesian theorem function using the partitioning, estimating, and outputting operations, and classifying an object to be classified using a classifier trained using the Bayesian machine learning. The method may further comprise performing optimal control by iteratively minimizing a controlled system cost function to determine optimized control inputs using the partitioning, estimating, and outputting with the function equal to the controlled system cost function having the selected control inputs, and controlling the controlled system using the optimized control inputs.

3. 发明公开

EP2738716A3 Probabilistic relational data analysis 审中-公开
标题翻译：概率参考数据分析
公开(公告)号：EP2738716A3
公开(公告)日：2015-09-16
申请号：EP13195149.3
申请日：2013-11-29
申请人： Xerox Corporation
发明人： Guo, Shengbo , Chidlovskii, Boris , Archambeau, Cedric , Bouchard, Guillaume , Yin, Dawei
IPC分类号： G06N7/00
CPC分类号： G06F17/18 , G06N7/005
摘要： A multi-relational data set is represented by a probabilistic multi-relational data model in which each entity of the multi-relational data set is represented by a D-dimensional latent feature vector. The probabilistic multi-relational data model is trained using a collection of observations of relations between entities of the multi-relational data set. The collection of observations includes observations of at least two different relation types. A prediction is generated for an observation of a relation between two or more entities of the multi-relational data set based on a dot product of the optimized D-dimensional latent feature vectors representing the two or more entities. The training may comprise optimizing the D-dimensional latent feature vectors to maximize likelihood of the collection of observations, for example by Bayesian inference performed using Gibbs sampling.

4. 发明公开

EP2112603A3 Clustering using non-negative matrix factorization on sparse graphs 审中-公开
标题翻译：在稀疏图使用非负Matrizenfaktorisierung聚类
公开(公告)号：EP2112603A3
公开(公告)日：2012-12-05
申请号：EP09153500.5
申请日：2009-02-24
申请人： Xerox Corporation
发明人： Perronnin, Florent , Bouchard, Guillaume
IPC分类号： G06F17/18 , G06F17/16 , G06K9/62
CPC分类号： G06F17/16 , G06K9/6224
摘要： Object clustering techniques are disclosed. A nonnegative sparse similarity matrix (36) is constructed for a set of objects (26). Nonnegative factorization (40) of the nonnegative sparse similarity matrix is performed. Objects of the set of objects are allocated to clusters based on factor matrices generated by the nonnegative factorization of the nonnegative sparse similarity matrix.

5. 发明公开

EP2159696A1 Visualization of user interactions in a system of networked devices 有权
标题翻译：由相互连接的装置的网络系统中的用户交互的可视化
公开(公告)号：EP2159696A1
公开(公告)日：2010-03-03
申请号：EP09168125.4
申请日：2009-08-19
申请人： Xerox Corporation
发明人： Bouchard, Guillaume , Donini, Laurent , Valobra, Pascal , Ciriza, Victor
IPC分类号： G06F11/30
CPC分类号： G06F11/321 , G06F11/0733 , G06F11/0751 , G06F11/3013 , G06F11/3065
摘要： As set forth herein, a system identifies soft failures of devices. An interface captures transactional data between one or more users and one or more devices within the system. A data log receives the transactional data from the interface and stores the data as historical data for subsequent retrieval. A warning system evaluates the historical data in the data log to identify one or more devices that have a soft failure condition, wherein an alarm is output for each soft failure identified. A display module combines the historical data from the data log and one or more alarms from the warning system into a single display for review.
摘要翻译：作为阐述设置，系统识别设备的软故障。接口捕获的一个或多个用户与系统内的一个或多个设备之间的事务数据。数据记录器接收来自接口的交易数据并且将数据存储作为用于随后的检索历史数据。警告系统评价在数据记录的历史数据，以识别一个或多个设备thathave软失效的条件下，报警的worin为识别的每个软故障输出。一种显示模块结合从警告系统中的数据记录和一个或多个警报的历史数据转换成用于审查的单个显示。

6. 发明公开

EP2261816A3 Split variational inference 审中-公开
标题翻译：分裂变分推理
公开(公告)号：EP2261816A3
公开(公告)日：2016-05-04
申请号：EP10165368.1
申请日：2010-06-09
申请人： Xerox Corporation
发明人： Bouchard, Guillaume , Zoeter, Onno
IPC分类号： G06F17/10 , G06K9/62
CPC分类号： G06F17/10 , G06K9/6221
摘要： ] A method comprises: partitioning a region of interest into a plurality of soft bin regions that span the region of interest; estimating an integral over each soft bin region of a function defined over the region of interest; and outputting a value equal to or derived from the sum of the estimated integrals over the soft bin regions spanning the region of interest. The method may further comprise: integrating a Bayesian theorem function using the partitioning, estimating, and outputting operations, and classifying an object to be classified using a classifier trained using the Bayesian machine learning. The method may further comprise performing optimal control by iteratively minimizing a controlled system cost function to determine optimized control inputs using the partitioning, estimating, and outputting with the function equal to the controlled system cost function having the selected control inputs, and controlling the controlled system using the optimized control inputs.
摘要翻译：一种方法包括：将感兴趣区域划分为跨越感兴趣区域的多个软箱区域; 估计在所述感兴趣区域上定义的函数的每个软bin区域上的积分; 并且输出等于或来源于跨越感兴趣区域的软软件区域上的估计积分之和的值。该方法可以进一步包括：使用划分，估计和输出操作来整合贝叶斯定理函数，并且使用利用贝叶斯机器学习训练的分类器对待分类的对象进行分类。该方法可以进一步包括通过迭代地最小化受控系统成本函数来执行最优控制，以使用划分，估计和输出具有等于具有所选控制输入的受控系统成本函数的函数来确定最优控制输入，并且控制受控系统使用优化的控制输入。

7. 发明公开

EP2790135A1 System and method for highlighting barriers to reducing paper usage 审中-公开
标题翻译：系统和方法强调以减少纸张消耗障碍
公开(公告)号：EP2790135A1
公开(公告)日：2014-10-15
申请号：EP14157356.8
申请日：2014-02-28
申请人： Xerox Corporation
发明人： Willamowski, Jutta K , Bouchard, Guillaume , Grasso, Maria Antonietta , Hoppenot, Yves
IPC分类号： G06Q10/06 , G06Q10/10
CPC分类号： G06Q10/0639 , G06Q10/06398 , G06Q10/10
摘要： A computer-implemented method for identifying constraints to reducing consumable usage includes acquiring (S102) print job information for a set of print jobs submitted for printing by a set of users. A print job representation is computed (S108) for each of the print jobs based on features extracted from the print job information. Provision is made (S104) for user-annotation of the submitted print jobs with a task category and a constraint category. Each of a plurality of task categories represents a respective task with which the printing of a print job is associated. Each of a plurality of selectable constraint categories expresses a different reason for printing the print job. User-annotations are received (S106) for at least some of the submitted print jobs. The print jobs are clustered (S114) into clusters based on the print job representations and task category annotations. A representation of the set of print jobs is generated which represents reasons for printing of print jobs in at least one of the clusters, based on the users' constraint category annotations.
摘要翻译：用于鉴定的约束减少耗材使用包括获取（S102）一组由一组用户提交用于打印的打印作业的打印作业的信息的计算机实现的方法。打印作业的表示被计算（S108）对于每个基于来自打印作业的信息提取的特征的打印作业。委员会由（S104）所提交的打印作业与任务的类别和类别限制用户的注释。每个任务类别的多个darstellt与打印作业的打印相关的respectivement任务。每个可选择的约束类别的多个快车不同原因的打印作业。用户注释接收（S106）至少一些提交的打印作业。打印作业进行聚类（S114）到基于打印作业陈述和任务类别注释集群。设定打印作业的表示产生了用于打印作业的打印哪个darstellt原因在簇中的至少一个，基于用户约束类注释。

8. 发明授权

EP2159696B1 Visualization of user interactions in a system of networked devices 有权
标题翻译：由相互连接的装置的网络系统中的用户交互的可视化
公开(公告)号：EP2159696B1
公开(公告)日：2012-07-25
申请号：EP09168125.4
申请日：2009-08-19
申请人： Xerox Corporation
发明人： Bouchard, Guillaume , Donini, Laurent , Valobra, Pascal , Ciriza, Victor
IPC分类号： G06F11/32 , G06F11/30
CPC分类号： G06F11/321 , G06F11/0733 , G06F11/0751 , G06F11/3013 , G06F11/3065

9. 发明公开

EP2000909A3 Methods and systems for soft failure detection for networked printers 有权
标题翻译：方法和系统更容易检测到的网络打印机错误
公开(公告)号：EP2000909A3
公开(公告)日：2009-12-23
申请号：EP08152982.8
申请日：2008-03-19
申请人： Xerox Corporation
发明人： Scrafford, Matthew , Kammerdiener, Shawn , Ciriza, Victor , Valobra, Pascal , Marquie, Bruno , Pothos, Kirk V. , Bouchard, Guillaume
IPC分类号： G06F11/34
CPC分类号： G06F11/0733 , G03G15/5075 , G03G15/5079 , G06F3/1294 , G06F11/008 , G06F11/0751
摘要： Methods and systems are presented for identifying potential printer failures in a networked printing enterprise, in which job tracking data is gathered for print jobs in the network, affinity data is derived from the job tracking data indicating associations between printer devices and user devices, and potential printer failures are identified based on changes in the affinity data.

10. 发明公开

EP2618294A1 Location-type tagging using collected traveler data 审中-公开
标题翻译：地点类型使用数据标记收集旅客
公开(公告)号：EP2618294A1
公开(公告)日：2013-07-24
申请号：EP13151201.4
申请日：2013-01-14
申请人： Xerox Corporation
发明人： Bouchard, Guillaume , Ulloa, Luis , Ciriza, Victor , Cazenave, Lionel , Valobra, Pascal
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0833 , G06Q50/30
摘要： A method and system are disclosed for automatically tagging locations using collected traveler information. Traveler information, including a time/date stamp and a unique identification associated with the traveler are collected (302) and stored (304) in a database with locations corresponding to transportation stops. A location query, which includes a location type, an analysis period, optionally, an analysis approach, and a user selected threshold are received (306) and a number of time/location stamps for each location is determined based upon an interval associated with the selected type. The maximum number of time/location stamps for that location is then determined, and using the selected threshold, a minimum number of stamps required to designate a location as the selected type is determined. Thereafter, for example, when the number of time/location stamps within the time interval for the selected type is greater than or equal to the minimum number calculated, the location is tagged as the selected location type.
摘要翻译：的方法和系统是游离缺失光盘利用采集旅行者信息自动地标记的位置。旅行者的信息，包括在数据库中的与对应于输送停止位置的时间/日期戳和与该旅客相关联的唯一标识被收集（302）和存储（304）。位置查询，其包括位置类型，分析期间，任选地，为了分析的方法，以及用户选择的阈值被接收（306）和用于每个位置的多个时间/位置邮票是确定性的开采基于与所述相关联的时间间隔所选类型。的时间/位置邮票该位置的最大数量是确定的，然后开采，并且使用所选择的阈值，以指定一个位置作为所选择的类型是确定的开采所需的邮票的最小数目。那里之后，例如，当时间/位置邮票所选类型的时间间隔内的次数大于或等于计算出的最小数量，位置被标记为所选择的位置类型。

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