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公开(公告)号：US20190171737A1
公开(公告)日：2019-06-06
申请号：US15829857
申请日：2017-12-01
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Ning Duan , Chun Yang Ma , Makoto Tanibayashi , Zhi Hu Wang , Shoichiro Watanabe , Nan Xia , Xin Zhang , Jun Zhu
IPC: G06F17/30
Abstract: A method and/or system for managing a database that stores space-time context objects is provided. The system receives a query range in a multi-dimensional space. The system maps the query range into a set of fragments of a space-filling curve that fills the multi-dimensional space in all dimensions of the multi-dimensional space. The system uses each mapped fragment in the set of mapped fragments as a key to query the database for space-time context objects that are mapped to the space-filling curve. The system queries the database by identifying one or more context objects that intersect the mapped fragment at the space-filling curve.
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公开(公告)号：US20190156211A1
公开(公告)日：2019-05-23
申请号：US15818877
申请日：2017-11-21
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Wei Shan Dong , Peng Gao , Chang Sheng Li , Chun Yang Ma , Kai AD Yang , Ren Jie Yao , Ting Yuan , Jun Zhu
Abstract: Systems and methods training a model are disclosed. In the method, training data is obtained by a deep neural network (DNN) first, the deep neural network comprising at least one hidden layer. Then features of the training data are obtained from a specified hidden layer of the at least one hidden layer, the specified hidden layer being connected respectively to a supervised classification network for classification tasks and an autoencoder based reconstruction network for reconstruction tasks. And at last the DNN, the supervised classification network and the reconstruction network are trained as a whole based on the obtained features, the training being guided by the classification tasks and the reconstruction tasks
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23.发明授权公开(公告)号：US10060750B2
公开(公告)日：2018-08-28
申请号：US15248920
申请日：2016-08-26
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Peng Gao , Chang Sheng Li , Chun Yang Ma , Ren Jie Yao , Xin Zhang
CPC classification number: G01C21/32 , G06F16/287 , G06F16/29
Abstract: A method, system, and computer program product, include receiving a plurality of requests for dynamic context information from a plurality of road segments, determining whether the plurality of road segments are included in a same cluster of road segments in a road network generated by clustering road segments in the road network based on connectivity of the road network, and consolidating the plurality of requests to generate a consolidated request in response to determining that the plurality of road segments are included in the same cluster.
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24.发明申请公开(公告)号：US20170155696A1
公开(公告)日：2017-06-01
申请号：US15352307
申请日：2016-11-15
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Ning Duan , Peng Gao , Chang Sheng Li , Chun Yang Ma , Xin Zhang , Jun Zhu
CPC classification number: H04L65/4069 , G06F9/4881 , G08G1/0112 , H04L67/12
Abstract: A vehicle domain multi-level parallel buffering and context-based streaming data pre-processing system includes a first data processing level and a second data processing level. The first data processing level includes a first-level buffer configured to buffer data provided from a plurality of raw data streams output from a plurality of vehicles. The second data processing level includes an electronic task-queue-dictionary (TQD) module and a plurality of second-level data processing buffers. The TQD module is configured to create a plurality of tasks in response to receiving a serial data stream output from the first-level buffer. The TQD module is further configured to assign each task to a corresponding second-level buffer, and separate the serial data stream into individual data values that are delivered to a specific second-level buffer based on the task so as to generate a multi-level parallel context-based buffering operation.
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公开(公告)号：US20160357807A1
公开(公告)日：2016-12-08
申请号：US14744708
申请日：2015-06-19
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Peng Gao , Guo Qiang Hu , Chang Sheng Li , Xu Liang Li , Chun Yang Ma , Zhi Wang , Xin Zhang
Abstract: A mechanism is provided in a data processing system for distributed tree learning. A source processing instance distributes data record instances to a plurality of model update processing items. The plurality of model update processing items determine candidate leaf splitting actions in a decision tree in parallel based on the data record instances. The plurality of model update processing items send the candidate leaf splitting actions to a plurality of conflict resolve processing items. The plurality of conflict resolve processing items identifies conflict leaf splitting actions. The plurality of conflict resolve processing items applies tree structure changes to the decision tree in the plurality of model update processing items.
Abstract translation: 在分布式树学习的数据处理系统中提供了一种机制。 源处理实例将数据记录实例分发到多个模型更新处理项目。 多个模型更新处理项目基于数据记录实例并行确定决策树中的候选叶片分割动作。 多个模型更新处理项目将候选叶分割动作发送到多个冲突解决处理项目。 多个冲突解决处理项目识别冲突分割动作。 多个冲突解决处理项目将树结构改变应用于多个模型更新处理项目中的决策树。
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Patent Agency Ranking
26.发明申请公开(公告)号：US20160092770A1
公开(公告)日：2016-03-31
申请号：US14496002
申请日：2014-09-25
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Li Li , Xuan Liu , Chun Yang Ma , Songhua Xing
IPC: G06N5/04
Abstract: A method and system to identify a time lagged indicator of an event to be predicted are described. The method includes receiving information including an indication of a factor, the factor being a different event than the event to be predicted, and identifying a window period within which the event is statistically correlated with the factor. The method also includes collecting data for a duration of the window period, the data indicating occurrences of the factor and the event, and identifying a time lagged dependency of the event on the factor based on analyzing the data.
Abstract translation: 描述用于识别要预测的事件的时滞指示符的方法和系统。 该方法包括接收包括因素的指示的信息，所述因子是与要预测的事件不同的事件，以及识别事件与该因子统计相关的窗口周期。 该方法还包括在窗口周期的持续时间内收集数据，指示因素和事件的发生的数据，以及基于分析数据来识别事件对因子的时滞依赖性。
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公开(公告)号：US20160021637A1
公开(公告)日：2016-01-21
申请号：US14801139
申请日：2015-07-16
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Heng Cao , Wei Shan Dong , Chun Yang Ma , Ju Wei Shi , Chunhua Tian , Yu Wang , Chao Zhang
CPC classification number: H04W36/0094 , G01S5/0278 , H04M3/2218 , H04W36/0083 , H04W36/32 , H04W64/00 , H04W64/006
Abstract: A method and an apparatus for determining a location of a mobile device. The location of a mobile device is determined accurately according to information which includes call data records of the mobile device. By employing a partial ellipse integral model, two physical world factors are taken into consideration in reducing the location uncertainty in call data records. The factors include: spatiotemporal constraints of the device's movement in the physical world and the telecommunication cell area's geometry information, which increase the accuracy of determining the location of a mobile device.
Abstract translation: 一种用于确定移动设备的位置的方法和装置。 根据包括移动设备的呼叫数据记录的信息，准确地确定移动设备的位置。 通过采用部分椭圆积分模型，在减少呼叫数据记录中的位置不确定性时考虑了两个物理世界因素。 这些因素包括：物理世界中设备移动的时空约束和电信单元区域的几何信息，这增加了确定移动设备位置的准确性。
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公开(公告)号：US20150248761A1
公开(公告)日：2015-09-03
申请号：US14621665
申请日：2015-02-13
Applicant: International Business Machines Corporation
Inventor： Wei Shan Dong , Chang Sheng Li , Min Li , Chun Yang Ma , Yu Wang , Jun Chi Yan , Chao Zhang
CPC classification number: G06K9/60 , G06F3/017 , G06F3/0414 , G06F3/04883 , G06K9/00476 , G06K9/033 , G06T11/203 , G06T2207/10004 , G06T2207/30241 , G06T2210/12
Abstract: A method for recognizing a primitive in an image includes recognizing at least one primitive in the image to obtain at least one candidate shape of the at least one primitive, which at least one candidate shape has a respective confidence; determining whether the recognizing of the at least one primitive has a potential error based on the confidence; obtaining auxiliary information about the at least one primitive from a user in response to determining that the recognizing has the potential error; and re-recognizing the at least one primitive at least in part based on the auxiliary information.
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公开(公告)号：US11590822B2
公开(公告)日：2023-02-28
申请号：US17183810
申请日：2021-02-24
Applicant: International Business Machines Corporation
Inventor： Ning Duan , Jing Chang Huang , Peng Ji , Chun Yang Ma , Zhi Hu Wang , Renjie Yao
Abstract: A mechanism is provided for controlling the internal air-quality of a vehicle, including configuring a control policy that controls an internal air-quality of a vehicle and performing an action dictated by the control policy according to a window status of the vehicle.
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公开(公告)号：US11143532B2
公开(公告)日：2021-10-12
申请号：US15787879
申请日：2017-10-19
Applicant: International Business Machines Corporation
Inventor： Wei Sun , Ning Duan , Ren Jie Yao , Chun Yang Ma , Peng Ji , Jing Chang Huang , Peng Gao , Zhi Hu Wang
Abstract: Embodiments of the present invention may be directed toward a method, a system, and a computer program product of adaptive calibration of sensors through cognitive learning. In an exemplary embodiment, the method, the system, and the computer program product include (1) in response to receiving a data from at least one calibration sensor and data from an itinerant sensor, comparing the data from the at least one calibration sensor and the data from the itinerant sensor, (2) in response to the comparing, determining, by one or more processors, the accuracy of the itinerant sensor, (3) generating, by the one or more processors, one or more calibration parameters based on the determining and based on a machine learning associated with preexisting sensor information, and (4) executing, by the one or more processors, the one or more calibration parameters.
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