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    • 1. 发明授权
    • Valuation-based learning system
    • 基于估值的学习系统
    • US08032467B1
    • 2011-10-04
    • US12156447
    • 2008-05-31
    • Yang ChenQin JiangDavid Shu
    • Yang ChenQin JiangDavid Shu
    • G06F15/18
    • G06N99/005
    • The present invention relates to a valuation-based learning system. The system is configured to receive a plurality of inputs, each input being input evidence corresponding to a variable in a Dempster-Shafer Reasoning System. The Dempster-Shafer Reasoning System is a network of interconnected nodes, with each node representing a variable that is representative of a characteristic of a problem domain. A discount weight is then optimized for assigning to each of the inputs. A basic probability assignment (bpa) is generated using the Dempster-Shafer Reasoning System, and where the bpa is an output for use in determining a solution of the problem domain. Finally, a solution to the problem domain is determined using the bpa.
    • 本发明涉及基于估值的学习系统。 该系统被配置为接收多个输入,每个输入是对应于Dempster-Shafer推理系统中的变量的输入证据。 Dempster-Shafer推理系统是互连节点网络,每个节点代表一个代表问题域特征的变量。 然后优化折扣权重以分配给每个输入。 使用Dempster-Shafer推理系统生成基本概率分配(bpa),其中bpa是用于确定问题域的解决方案的输出。 最后,使用bpa确定问题域的解决方案。
    • 3. 发明授权
    • Hierarchical video search and recognition system
    • 分层视频搜索和识别系统
    • US08874584B1
    • 2014-10-28
    • US12660320
    • 2010-02-24
    • Yang ChenSwarup MedasaniDavid L. AllenQin JiangYuri OwechkoTsai-Ching Lu
    • Yang ChenSwarup MedasaniDavid L. AllenQin JiangYuri OwechkoTsai-Ching Lu
    • G06F17/30
    • G06F17/30805G06F17/30811
    • Described is a system for content recognition, search, and retrieval in visual data. The system is configured to perform operations of receiving visual data as an input, processing the visual data, and extracting distinct activity-agnostic content descriptors from the visual data at each level of a hierarchical content descriptor module. The resulting content descriptors are then indexed with a hierarchical content indexing module, wherein each level of the content indexing module comprises a distinct set of indexed content descriptors. The visual data, generated content descriptors, and indexed content descriptors are then stored in a storage module. Finally, based on a content-based query by a user, the storage module is searched, and visual data containing the content of interest is retrieved and presented to the user. A method and computer program product for content recognition, search, and retrieval in visual data are also described.
    • 描述了用于视觉数据中的内容识别,搜索和检索的系统。 该系统被配置为执行接收视觉数据作为输入,处理可视数据以及从分层内容描述符模块的每个级别的视觉数据中提取不同的活动不可知内容描述符的操作。 所得到的内容描述符然后用分层内容索引模块进行索引,其中内容索引模块的每个级别包括不同的索引内容描述符集合。 然后将可视数据,生成的内容描述符和索引的内容描述符存储在存储模块中。 最后,基于用户的基于内容的查询,搜索存储模块,并且检索包含感兴趣内容的视觉数据并呈现给用户。 还描述了用于视觉数据中的内容识别,搜索和检索的方法和计算机程序产品。
    • 4. 发明授权
    • System for automatic data clustering utilizing bio-inspired computing models
    • 使用生物启发计算模型的自动数据聚类系统
    • US09009156B1
    • 2015-04-14
    • US12590574
    • 2009-11-10
    • Qin JiangYang Chen
    • Qin JiangYang Chen
    • G06F17/30
    • G06F15/1735G06N3/0409G06N3/0418G06N3/0436
    • Described is a system for automatic data clustering which utilizes bio-inspired computing models. The system performs operations of mapping a set of input data into a feature space using a bio-inspired computing model. A number of clusters inside the set of input data is then determined by finding an optimal vigilance parameter using a bio-inspired computing model. Finally, the set of input data is clustered based on the determined number of clusters. The input data is mapped with a Freeman's KIII network, such that each data point is mapped into a KIII network response. Furthermore, the number of clusters is determined using the fuzzy adaptive resonance theory (ART), and the data is clustered using the fuzzy c-means method. Clustering quality measures are used to compute an objective function to evaluate the quality of clustering.
    • 描述了一种利用生物启发计算模型的自动数据聚类系统。 系统执行使用生物启发的计算模型将一组输入数据映射到特征空间的操作。 然后通过使用生物启发的计算模型找到最佳警戒参数来确定输入数据集合内的多个群集。 最后,基于所确定的群集数量对该组输入数据进行聚类。 输入数据用Freeman的KIII网络映射,使得每个数据点被映射到KIII网络响应。 此外,使用模糊自适应共振理论(ART)确定簇的数量,并且使用模糊c-means方法对数据进行聚类。 聚类质量测度用于计算目标函数,以评估聚类质量。
    • 9. 发明授权
    • Instant messaging system and method
    • 即时通讯系统和方法
    • US08190182B2
    • 2012-05-29
    • US12414505
    • 2009-03-30
    • Xiaoguang WuYang ChenYejun HuangHuateng MaLiqing Zeng
    • Xiaoguang WuYang ChenYejun HuangHuateng MaLiqing Zeng
    • H04W4/00
    • H04L51/043H04L29/06H04L51/04H04L51/066H04L51/38H04L67/02H04L67/24H04L69/329H04W4/12H04W88/184
    • Methods and apparatuses for processing an instant message from a source wireless communication device to a destination device are described herein. In one aspect of the invention, an exemplary method includes receiving the instant message from the source wireless communication device, the instant message having a source wireless communication identifier, a destination instant messenger identifier, and data contents; extracting the source wireless communication identifier, the destination instant messenger identifier and the data contents from the instant message; retrieving a source instant messenger identifier corresponding to the source wireless communication identifier; binding the source instant messenger identifier with the source wireless communication identifier; and transmitting the data contents with the source instant messenger identifier to the destination device over a communication network, based on the destination instant messenger identifier. Other methods and apparatuses are also described.
    • 本文描述了用于处理来自源无线通信设备到目的地设备的即时消息的方法和设备。 在本发明的一个方面,一种示例性方法包括从源无线通信设备接收即时消息,该即时消息具有源无线通信标识符,目的地即时消息标识符和数据内容; 从即时消息中提取源无线通信标识符,目的地即时消息标识符和数据内容; 检索与所述源无线通信标识符相对应的源即时消息标识符; 将源即时消息器标识符与源无线通信标识符绑定; 以及基于所述目的地即时消息标识符,通过通信网络将所述源即时消息传递者标识符的数据内容发送到所述目的地设备。 还描述了其它方法和装置。