专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US10078667B2 Normalizing non-numeric features of files 有权
公开(公告)号：US10078667B2
公开(公告)日：2018-09-18
申请号：US14967314
申请日：2015-12-13
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Chang Sheng Li , Fan Jing Meng , Edith Helen Stern , Han Wang , Jing Min Xu , Lin Yang , Xuejun Zhuo
IPC分类号： G06F17/30 , H04L12/24
CPC分类号： G06F16/2455 , G06F17/3053 , G06F17/30554 , H04L41/0806
摘要： Embodiments include method, computer program products and apparatuses for normalizing non-numeric features of files and corresponding apparatus. Aspects include segmenting at least one pair of positive instances of a non-numeric feature of a file into a number of tokens and -comparing the tokens in the at least one pair of positive instances to obtain matching tokens. Aspects also include calculating weights of their matching the file, for the matching tokens, and storing the tokens and their weights in a token base.

2. 发明申请

US20180113458A1 METHOD OF EFFECTIVE DRIVING BEHAVIOR EXTRACTION USING DEEP LEARNING 审中-公开
公开(公告)号：US20180113458A1
公开(公告)日：2018-04-26
申请号：US15332407
申请日：2016-10-24
申请人： International Business Machines Corporation
发明人： Wei Shan Dong , Peng Gao , Jian Li , Chang Sheng Li , Wen Han Luo , Chun Yang Ma , Renjie Yao , Ting Yuan , Jun Zhu
IPC分类号： G05D1/00 , G01S19/42 , B60W40/08 , B60W50/06 , G06N3/08
CPC分类号： G06N3/08 , B60W40/08 , B60W50/06 , G01S19/14 , G01S19/42 , G06N3/0454
摘要： Systems and methods for obtaining vehicle operational data and driving context data from one or more monitoring systems, including converting the obtained vehicle operational data and driving context data into sequential vehicle operational feature data and sequential driving context feature data, calibrating the sequential vehicle operational feature data and the sequential driving context feature data temporally to form calibrated sequential vehicle operational feature data and calibrated sequential driving context feature data, constructing a sequence table of temporal sample points based on the calibrated sequential vehicle operational feature data and the calibrated sequential driving context feature data, feeding the sequence table into a deep neural network model for applying network learning to form a trained deep neural network model, extracting driving behavior features from the trained deep neural network model and analyzing the extracted driving behavior features to determine driving behavior characteristics of the driver.

3. 发明授权

US09355332B2 Pattern recognition based on information integration 有权
标题翻译：基于信息集成的模式识别
公开(公告)号：US09355332B2
公开(公告)日：2016-05-31
申请号：US14621665
申请日：2015-02-13
申请人： International Business Machines Corporation
发明人： Wei Shan Dong , Chang Sheng Li , Min Li , Chun Yang Ma , Yu Wang , Jun Chi Yan , Chao Zhang
IPC分类号： G06K9/46 , G06K9/60 , G06T7/00 , G06F3/01 , G06F3/041 , G06F3/0488 , G06T7/40 , G06T11/20 , G06K9/00 , G06K9/03
CPC分类号： G06K9/60 , G06F3/017 , G06F3/0414 , G06F3/04883 , G06K9/00476 , G06K9/033 , G06T11/203 , G06T2207/10004 , G06T2207/30241 , G06T2210/12
摘要： 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.
摘要翻译：用于识别图像中的原语的方法包括识别图像中的至少一个基元以获得至少一个候选形状具有相应置信度的至少一个基元的至少一个候选形状; 确定所述至少一个基元的识别是否具有基于所述置信度的潜在误差; 响应于确定所述识别具有所述潜在错误，从用户获得关于所述至少一个原语的辅助信息; 以及至少部分地基于所述辅助信息重新识别所述至少一个原语。

4. 发明申请

US20150310335A1 DETERMINING A PERFORMANCE PREDICTION MODEL FOR A TARGET DATA ANALYTICS APPLICATION 审中-公开
标题翻译：确定目标数据分析应用的性能预测模型
公开(公告)号：US20150310335A1
公开(公告)日：2015-10-29
申请号：US14689073
申请日：2015-04-17
申请人： International Business Machines Corporation
发明人： Liya Fan , Chang Sheng Li , Jing Min Xu , Lin Yang
IPC分类号： G06N5/04 , G06N99/00
CPC分类号： G06N20/00
摘要： A performance prediction model for a target data analytics application, where: (i) a reference data analytics application similar to the target data analytics application is determined; (ii) a configuration-performance data pair of the target data analytics application are acquired; and (iii) the performance prediction model for the target data analytics application is determined based on the configuration-performance data pair of the target data analytics application and a configuration-performance data pair of the at least one reference data analytics application. This can reduce the time required to accumulate the configuration-performance data pairs for determining the performance prediction model by combining the configuration-performance data pairs of the existing data analytics applications, thereby accelerating determination of the performance prediction model.
摘要翻译：用于目标数据分析应用的性能预测模型，其中：（i）确定与目标数据分析应用程序类似的参考数据分析应用程序; （ii）获取目标数据分析应用的配置性能数据对; 以及（iii）基于所述目标数据分析应用的配置性能数据对和所述至少一个参考数据分析应用的配置性能数据对来确定所述目标数据分析应用的性能预测模型。这可以通过组合现有数据分析应用的配置性能数据对来减少累积用于确定性能预测模型的配置性能数据对所需的时间，从而加速性能预测模型的确定。

5. 发明授权

US10679143B2 Multi-layer information fusing for prediction 有权
公开(公告)号：US10679143B2
公开(公告)日：2020-06-09
申请号：US15200509
申请日：2016-07-01
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Wei Shan Dong , Peng Gao , Chang Sheng Li , Chun Yang Ma , Junchi Yan , Ren Jie Yao
IPC分类号： G06N20/00
摘要： A method of generating a predictor to classify data includes: training each of a plurality of first classifiers arranged in a first level on current training data; operating each classifier of the first level on the training data to generate a plurality of predictions; combining the current training data with the predictions to generated new training data; and training each of a plurality of second classifiers arranged in a second level on the new training data. The first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively.

6. 发明授权

US10121250B2 Image orientation detection 有权
公开(公告)号：US10121250B2
公开(公告)日：2018-11-06
申请号：US15366478
申请日：2016-12-01
申请人： International Business Machines Corporation
发明人： Stephen Chu , Min Gong , Chang Sheng Li , Dong Sheng Li , Jun Chi Yan , Weipeng Zhang
IPC分类号： G06K9/34 , G06T7/00
摘要： Embodiments of the present disclosure relate to a new approach for image orientation detection. In the computer-implemented method, at least one character area in an image is sampled. The orientation of the sampled character area is determined, and the orientation of the image is determined based on the determined orientation of the sampled character area.

7. 发明申请

US20180314535A1 DETERMINING CHARACTERISTICS OF CONFIGURATION FILES 审中-公开
公开(公告)号：US20180314535A1
公开(公告)日：2018-11-01
申请号：US16030949
申请日：2018-07-10
申请人： International Business Machines Corporation
发明人： Ajay A. Apte , Chang Sheng Li , Fan Jing Meng , Joseph P. Wigglesworth , Jing Min Xu , Bo Yang , Xue Jun Zhuo
IPC分类号： G06F9/445
CPC分类号： G06F9/44505
摘要： Determining a characteristic of a configuration file that is used to discover configuration files in a target machine, a computer identifies, using information associated with a configuration item of a machine, a candidate configuration file related to the configuration item of the machine, from among a plurality of files from the machine. The computer extracts a value of a feature of the candidate configuration file and aggregates the candidate configuration file with a second candidate configuration file related to the same configuration item identified from among a plurality of files from a second machine, based on the extracted value. The computer then determines a configuration file related to the configuration item from among the aggregated candidate configuration files based on a result of the aggregation, and determines a characteristic of the configuration file related to the configuration item.

8. 发明授权

US09537914B1 Vehicle domain multi-level parallel buffering and context-based streaming data pre-processing system 有权
标题翻译：车载多级并行缓冲和基于上下文的流数据预处理系统
公开(公告)号：US09537914B1
公开(公告)日：2017-01-03
申请号：US14955218
申请日：2015-12-01
申请人： International Business Machines Corporation
发明人： Wei Shan Dong , Ning Duan , Peng Gao , Chang Sheng Li , Chun Yang Ma , Xin Zhang , Jun Zhu
IPC分类号： G06F15/16 , H04L29/06 , H04L12/861
CPC分类号： H04L65/4069 , G06F9/4881 , G08G1/0112 , H04L67/12
摘要： 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.
摘要翻译：车载域多级并行缓冲和基于上下文的流数据预处理系统包括第一数据处理级和第二数据处理级。第一数据处理级包括被配置为缓冲从多个车辆输出的多个原始数据流提供的数据的第一级缓冲器。第二数据处理级包括电子任务队列字典（TQD）模块和多个第二级数据处理缓冲器。 TQD模块被配置为响应于接收从第一级缓冲器输出的串行数据流而创建多个任务。 TQD模块还被配置为将每个任务分配给相应的二级缓冲器，并且将串行数据流分离成基于该任务传送到特定二级缓冲器的单独数据值，以便生成多级并行上下文缓冲操作。

9. 发明申请

US20150379034A1 DETERMINING CHARACTERISTICS OF CONFIGURATION FILES 审中-公开
标题翻译：确定配置文件的特性
公开(公告)号：US20150379034A1
公开(公告)日：2015-12-31
申请号：US14735478
申请日：2015-06-10
申请人： International Business Machines Corporation
发明人： Ajay A. Apte , Chang Sheng Li , Fan Jing Meng , Joseph P. Wigglesworth , Jing Min Xu , Bo Yang , Xue Jun Zhuo
IPC分类号： G06F17/30
CPC分类号： G06F9/44505
摘要： Determining a characteristic of a configuration file that is used to discover configuration files in a target machine, a computer identifies, using information associated with a configuration item of a machine, a candidate configuration file related to the configuration item of the machine, from among a plurality of files from the machine. The computer extracts a value of a feature of the candidate configuration file and aggregates the candidate configuration file with a second candidate configuration file related to the same configuration item identified from among a plurality of files from a second machine, based on the extracted value. The computer then determines a configuration file related to the configuration item from among the aggregated candidate configuration files based on a result of the aggregation, and determines a characteristic of the configuration file related to the configuration item.
摘要翻译：确定用于发现目标机器中的配置文件的配置文件的特性，计算机使用与机器的配置项相关联的信息来识别与机器的配置项相关的候选配置文件，来自机器的多个文件。计算机提取候选配置文件的特征值，并基于提取的值，从第二机器聚合候选配置文件与从与多个文件中识别的相同配置项目相关的第二候选配置文件。然后，计算机根据聚合结果从聚合候选配置文件中确定与配置项相关的配置文件，并确定与配置项相关的配置文件的特性。

10. 发明授权

US10817775B2 Neural network computing systems for predicting vehicle requests 有权
公开(公告)号：US10817775B2
公开(公告)日：2020-10-27
申请号：US15404483
申请日：2017-01-12
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Wei Shan Dong , Peng Gao , Chang Sheng Li , Wei Sun , Renjie Yao , Ting Yuan , Jun Zhu
IPC分类号： G06N3/04 , G08G1/00 , G06Q30/02
摘要： Embodiments are described for minimizing a wait time for a rider after sending a ride request for a vehicle. An example computer-implemented method includes receiving a ride request, the request being for travel from a starting location to a zone in a geographic region during a specified timeslot. The method further includes predicting travel demand based on a number of ride requests in the zone during the specified timeslot. The method further includes requesting transport of one or more vehicles to the zone in response to the predicted number of ride requests when the travel demand is predicted to exceed a number of vehicles in the zone during the specified timeslot.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式