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. 发明申请

US20110313954A1 COMMUNITY MODEL BASED POINT OF INTEREST LOCAL SEARCH 审中-公开
标题翻译：基于社区模型的兴趣点本地搜索
公开(公告)号：US20110313954A1
公开(公告)日：2011-12-22
申请号：US12819080
申请日：2010-06-18
申请人： Feng Zhao , Nicholas D. Lane , Dimitrios Lymperopoulos , Jing Zhao
发明人： Feng Zhao , Nicholas D. Lane , Dimitrios Lymperopoulos , Jing Zhao
IPC分类号： G06F17/30 , G06F15/18
CPC分类号： G06F16/35 , G06F16/335 , G06F16/9535 , G06F16/9537
摘要： The present disclosure describes a community model based point of interest local search platform. Specifically, logs of users that store selections while accessing a point of interest application are loaded into a database. The logs are of users that have similar demographic or other community attributes. The logs are then mined for contextual parameters, including, but not limited to time of day, day of week, distance, activity, environment, popularity, and personal preferences. The point of interest selections are then mapped to a multi-dimensional map where each dimension corresponds to a contextual parameter. Clusters are evaluated by a classifier and classes of users of the community are identified. When a user then queries the community model based point of interest local search platform, contextual parameters are submitted with the query, relevant classes identified, and the corresponding point of interest information is displayed to the user.
摘要翻译：本公开描述了基于社区模型的兴趣点本地搜索平台。具体来说，在访问兴趣点应用程序时存储选择的用户的日志被加载到数据库中。日志是具有类似人口统计或其他社区属性的用户。然后为日志参数挖掘日志，包括但不限于一天中的时间，星期几，距离，活动，环境，人气和个人喜好。然后将兴趣点选择映射到多维映射，其中每个维度对应于上下文参数。集群由分类器评估，并且识别社区的用户类。当用户随后查询基于社区模型的兴趣点本地搜索平台时，上下文参数与查询一起提交，识别相关类，并将相应的兴趣点信息显示给用户。

2. 发明授权

US09020871B2 Automated classification pipeline tuning under mobile device resource constraints 有权
标题翻译：在移动设备资源约束下自动分类流水线调优
公开(公告)号：US09020871B2
公开(公告)日：2015-04-28
申请号：US12818877
申请日：2010-06-18
申请人： Nicholas D. Lane , David Chiyuan Chu , Jing Zhao , Feng Zhao
发明人： Nicholas D. Lane , David Chiyuan Chu , Jing Zhao , Feng Zhao
IPC分类号： G06N99/00 , G06K9/00
CPC分类号： G06N99/005 , G06K9/00973
摘要： An architecture and techniques to enable a mobile device to efficiently classify raw sensor data into useful high level inferred data is discussed. Classification efficiency is achieved by tuning the mobile device's raw sensor data classification pipeline to attain a balance of accuracy, latency and energy suitable for mobile devices. The tuning of the classification pipeline is accomplished via a multi-pipeline tuning approach that uses Statistical Machine Learning Tools (SMLTs) and a classification cost modeler.
摘要翻译：讨论了使移动设备有效地将原始传感器数据分类为有用的高级推断数据的架构和技术。通过调整移动设备的原始传感器数据分类流水线达到适合移动设备的精度，延迟和能量的平衡来实现分类效率。分类流水线的调整是通过使用统计机器学习工具（SMLT）和分类成本建模器的多管线调整方法实现的。

3. 发明申请

US20110313953A1 Automated Classification Pipeline Tuning Under Mobile Device Resource Constraints 有权
标题翻译：移动设备资源约束下的自动分类管道调优
公开(公告)号：US20110313953A1
公开(公告)日：2011-12-22
申请号：US12818877
申请日：2010-06-18
申请人： Nicholas D. Lane , David Chiyuan Chu , Jing Zhao , Feng Zhao
发明人： Nicholas D. Lane , David Chiyuan Chu , Jing Zhao , Feng Zhao
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/00973
摘要： An architecture and techniques to enable a mobile device to efficiently classify raw sensor data into useful high level inferred data is discussed. Classification efficiency is achieved by tuning the mobile device's raw sensor data classification pipeline to attain a balance of accuracy, latency and energy suitable for mobile devices. The tuning of the classification pipeline is accomplished via a multi-pipeline tuning approach that uses Statistical Machine Learning Tools (SMLTs) and a classification cost modeler.
摘要翻译：讨论了使移动设备有效地将原始传感器数据分类为有用的高级推断数据的架构和技术。通过调整移动设备的原始传感器数据分类流水线达到适合移动设备的精度，延迟和能量的平衡来实现分类效率。分类流水线的调整是通过使用统计机器学习工具（SMLT）和分类成本建模器的多管线调整方法实现的。

4. 发明申请

US20080071934A1 Smart Interconnect For Modular Multi-Component Embedded Devices 有权
标题翻译：模块化多组件嵌入式设备的智能互连
公开(公告)号：US20080071934A1
公开(公告)日：2008-03-20
申请号：US11676097
申请日：2007-02-16
申请人： Feng Zhao , Nissanka Priyantha , Dimitrios Lymperopoulos
发明人： Feng Zhao , Nissanka Priyantha , Dimitrios Lymperopoulos
IPC分类号： G06F3/00
CPC分类号： G06F15/7867
摘要： A smart interconnect for modular multi-component embedded devices is described. In an embodiment of a smart interconnect for modular multi-component embedded devices, a desired functionality of a stack of hardware boards is accessed. For example, a user may select a new functionality for the stack of hardware boards. The desired functionality is then transmitted to a board in the stack of hardware boards and the board is configured to implement the desired functionality of the stack of hardware boards.
摘要翻译：描述了用于模块化多组件嵌入式设备的智能互连。在用于模块化多组件嵌入式设备的智能互连的实施例中，访问硬件板堆栈的所需功能。例如，用户可以为硬件板堆栈选择新的功能。然后将期望的功能传输到硬件板堆叠中的板，并且板被配置为实现硬件板堆栈的期望功能。

5. 发明授权

US07636796B2 Smart interconnect for modular multi-component embedded devices 有权
标题翻译：用于模块化多组件嵌入式设备的智能互连
公开(公告)号：US07636796B2
公开(公告)日：2009-12-22
申请号：US11676097
申请日：2007-02-16
申请人： Feng Zhao , Nissanka B. Priyantha , Dimitrios Lymperopoulos
发明人： Feng Zhao , Nissanka B. Priyantha , Dimitrios Lymperopoulos
IPC分类号： G06F3/00 , H01R12/16
CPC分类号： G06F15/7867
摘要： A smart interconnect for modular multi-component embedded devices is described. In an embodiment of a smart interconnect for modular multi-component embedded devices, a desired functionality of a stack of hardware boards is accessed. For example, a user may select a new functionality for the stack of hardware boards. The desired functionality is then transmitted to a board in the stack of hardware boards and the board is configured to implement the desired functionality of the stack of hardware boards.
摘要翻译：描述了用于模块化多组件嵌入式设备的智能互连。在用于模块化多组件嵌入式设备的智能互连的实施例中，访问硬件板堆栈的所需功能。例如，用户可以为硬件板堆栈选择新的功能。然后将期望的功能传输到硬件板堆叠中的板，并且板被配置为实现硬件板堆栈的期望功能。

6. 发明授权

US09170325B2 Distance measurements between computing devices 有权
标题翻译：计算设备之间的距离测量
公开(公告)号：US09170325B2
公开(公告)日：2015-10-27
申请号：US13599823
申请日：2012-08-30
申请人： Zengbin Zhang , David Chiyuan Chu , Thomas Moscibroda , Xiaomeng Chen , Feng Zhao
发明人： Zengbin Zhang , David Chiyuan Chu , Thomas Moscibroda , Xiaomeng Chen , Feng Zhao
IPC分类号： G01S3/80 , G01S11/14
CPC分类号： G01S11/14
摘要： Some implementations provide techniques and arrangements for distance measurements between computing devices. Some examples determine a distance between devices based at least in part on a propagation time of audio tones between the devices. Further, some examples determine the arrival time of the audio tones by performing autocorrelation on streaming data corresponding to recorded sound to determine a timing of an autocorrelation peak indicative of a detection of an audio tone in the streaming data. In some cases, cross correlation may be performed on the streaming data in a search window to determine a timing of a cross correlation peak indicative of the detection of the audio tone in the streaming data. The location of the search window in time may be determined based at least in part on the timing of the detected autocorrelation peak.
摘要翻译：一些实现提供了用于计算设备之间的距离测量的技术和布置。一些示例至少部分地基于设备之间的音频音调的传播时间来确定设备之间的距离。此外，一些示例通过对与记录的声音相对应的流数据执行自相关来确定音频音调的到达时间，以确定指示流数据中的音频音调的检测的自相关峰值的定时。在一些情况下，可以在搜索窗口中对流数据执行互相关，以确定指示流数据中的音频音调的检测的互相关峰值的定时。可以至少部分地基于检测到的自相关峰值的定时来确定搜索窗口在时间上的位置。

7. 发明授权

US08831909B2 Step detection and step length estimation 有权
标题翻译：步长检测和步长估计
公开(公告)号：US08831909B2
公开(公告)日：2014-09-09
申请号：US13240743
申请日：2011-09-22
申请人： Fan Li , Chunshui Zhao , Feng Zhao
发明人： Fan Li , Chunshui Zhao , Feng Zhao
IPC分类号： G01C22/00 , G01R23/00 , G01C21/16 , G06F19/00
CPC分类号： G01C22/006 , G01C21/165 , G06F19/00
摘要： Step detection and step length estimation techniques include detecting salient points in sensor data of one or more sensors. A step frequency is estimated based on a time interval between the detected salient points. A step length of the step may then be computed based on a nonlinear combination of the estimated step frequency and a function of the sensor data, and/or a step model. Alternatively, the step length of the step may be computed based on a combination of a nonlinear function of the estimated step frequency and a (linear or nonlinear) function of the sensor data, and/or a step model.
摘要翻译：步骤检测和步长估计技术包括检测一个或多个传感器的传感器数据中的突出点。基于检测到的突出点之间的时间间隔来估计步进频率。然后可以基于估计的步进频率和传感器数据的函数的非线性组合和/或步骤模型来计算步长的步长。或者，可以基于估计的步进频率的非线性函数和传感器数据的（线性或非线性）函数和/或步骤模型的组合来计算步长的步长。

8. 发明申请

US20140142079A1 PLATINUM COMPOUNDS FOR TREATING CELL PROLIFERATIVE DISEASES, PREPARATION METHOD AND USE THEREOF 有权
标题翻译：用于治疗细胞增殖性疾病的白蛋白化合物，制备方法及其用途
公开(公告)号：US20140142079A1
公开(公告)日：2014-05-22
申请号：US14131902
申请日：2012-07-06
申请人： Xiaoping Chen , Yashi Yan , Xiaoping Meng , Feng Zhao , Zejun Gao , Shouming Wen
发明人： Xiaoping Chen , Yashi Yan , Xiaoping Meng , Feng Zhao , Zejun Gao , Shouming Wen
IPC分类号： A61K31/351 , C07F15/00 , A61K31/282
CPC分类号： A61K31/351 , A61K31/282 , C07F15/0093
摘要： Disclosed are a class of platinum compounds with a leaving group of malonic acid derivatives containing amino and alkylamino, their pharmaceutically acceptable salts, their preparation methods and pharmaceutical composites comprising them. Disclosed also are for the uses of the compounds in the treatment of cell proliferative diseases, particularly for the treatment of cancers. The present platinum compounds have high water solubility and low toxicity.
摘要翻译：公开了一类具有离去基团的含有氨基和烷基氨基的丙二酸衍生物，其药学上可接受的盐，其制备方法和包含它们的药物复合物的铂化合物。还公开了化合物在治疗细胞增殖性疾病中的用途，特别是用于治疗癌症。本发明的铂化合物具有高水溶性和低毒性。

9. 发明授权

US08571358B2 Methods and apparatuses for facilitating content-based image retrieval 有权
标题翻译：用于促进基于内容的图像检索的方法和装置
公开(公告)号：US08571358B2
公开(公告)日：2013-10-29
申请号：US12982698
申请日：2010-12-30
申请人： Feng Zhao , Hao Wang
发明人： Feng Zhao , Hao Wang
IPC分类号： G06K9/54 , G06F7/00
CPC分类号： G06F17/30256
摘要： Methods and apparatuses are provided for facilitating content-based image retrieval. A method may include determining a selected target image. The method may further include generating a candidate region of interest set including one or more regions of interest within the target image. The method may additionally include determining a recommended region of interest set including one or more recommended regions of interest selected from the candidate region of interest set based at least in part upon evaluation criteria. The evaluation criteria may be determined based at least in part upon analysis of maintained region of interest-based searching history. The method may also include providing the recommended region of interest set for user selection of one or more target regions of interest from the recommended region of interest set as query criteria for searching an image library for one or more result images. Corresponding apparatuses are also provided.
摘要翻译：提供了用于促进基于内容的图像检索的方法和装置。方法可以包括确定所选择的目标图像。该方法还可以包括在目标图像内生成包括一个或多个感兴趣区域的关注集合候选区域。该方法可以另外包括至少部分地基于评估标准来确定包括一个或多个推荐兴趣区域的兴趣区域，所述推荐区域选自所述候选区域集合。评估标准可以至少部分地基于对维护的基于兴趣的搜索历史的区域的分析来确定。该方法还可以包括为推荐的感兴趣区域设置用户选择一个或多个感兴趣的目标区域作为用于搜索图像库的一个或多个结果图像的查询准则的建议的兴趣区域。还提供了相应的装置。

10. 发明申请

US20130073681A1 CREATING INTERACTIVE ZONES 审中-公开
标题翻译：创建交互区
公开(公告)号：US20130073681A1
公开(公告)日：2013-03-21
申请号：US13235077
申请日：2011-09-16
申请人： Xiaofan Jiang , Jie Liu , Feng Zhao , Jeff Hsu , Caiquan Liu , Chieh-Jan Mike Liang
发明人： Xiaofan Jiang , Jie Liu , Feng Zhao , Jeff Hsu , Caiquan Liu , Chieh-Jan Mike Liang
IPC分类号： G06F15/16
CPC分类号： G06N3/006 , A63F13/10 , A63F2300/5573 , A63F2300/609
摘要： Some implementations disclosed herein provide techniques and arrangements to enable interactive zones. For example, some implementations detect that a user has entered a zone associated with a physical object, where the zone is created via magnetic induction. In response to detecting that the user has entered the zone, some implementations send a virtual object representation of the physical object to a user device (e.g., a wireless phone) associated with the user. The user may interact with the virtual object, including selecting a command associated with the virtual object. Selecting the command may cause the physical object to perform one or more actions. In some implementations, a result of the physical object performing the one or more actions is sent to the user device.
摘要翻译：本文公开的一些实施例提供了使交互区域能够实现的技术和布置。例如，一些实现检测用户已经进入与物理对象相关联的区域，其中通过磁感应创建区域。响应于检测到用户已经进入该区域，一些实现将物理对象的虚拟对象表示发送到与用户相关联的用户设备（例如，无线电话）。用户可以与虚拟对象交互，包括选择与虚拟对象相关联的命令。选择该命令可能导致物理对象执行一个或多个操作。在一些实现中，执行一个或多个动作的物理对象的结果被发送到用户设备。

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