公开(公告)号：US5515455A

公开(公告)日：1996-05-07

申请号：US236252

申请日：1994-05-02

申请人： Venugopal Govindaraju ,  Dacheng Wang ,  Sargur Srihari

发明人： Venugopal Govindaraju ,  Dacheng Wang ,  Sargur Srihari

IPC分类号： G06K9/00

CPC分类号： G06K9/00865

摘要： A system for recognizing handwritten words of cursive script by extracting temporal information from static text is described. The temporal information consists of the shape, location and temporal sequence of the segments, or "primitives", constituting the word and is translated from bit maps images of the words into digital information format. By comparing the digital information with formatted digital information for a plurality of known words, as may be stored in computer memory, a list of words having a relatively high probability of matching the static text is generated, and used for word recognition by a process of selecting the most likely match.

摘要翻译： 描述了通过从静态文本中提取时间信息来识别草书脚本的手写词的系统。 时间信息由构成该单词的段或“基元”的形状，位置和时间序列组成，并从单词的位图图像转换为数字信息格式。 通过将数字信息与用于多个已知字的格式化数字信息进行比较，可以存储在计算机存储器中，产生具有匹配静态文本的相对较高概率的单词列表，并用于通过 选择最可能的匹配。

公开(公告)号：US20080220984A1

公开(公告)日：2008-09-11

申请号：US12069662

申请日：2008-02-11

申请人： Frank V. Bright ,  Alexander N. Cartwright ,  Venugopal Govindaraju ,  Wesley Hicks ,  Albert H. Titus

发明人： Frank V. Bright ,  Alexander N. Cartwright ,  Venugopal Govindaraju ,  Wesley Hicks ,  Albert H. Titus

IPC分类号： C40B30/10

CPC分类号： G01N33/52

摘要： Provided is a non-invasive method for identification of non-physiological, physiological or diseased states based on the volatiles in gas or biogas samples from individuals. The method uses a sensor array comprising a plurality of distinct sensors which differ from other sensors by the sensing molecules or the sol-gel holding material composition. In response to a combination of volatiles, a pattern of responses is generated which can be correlated to particular non-physiological, physiological or diseased state.

摘要翻译： 本发明提供一种基于来自个体的气体或沼气样品中的挥发物鉴定非生理，生理或病态的非侵入性方法。 该方法使用传感器阵列，其包括由感测分子或溶胶 - 凝胶保持材料组成不同于其它传感器的多个不同的传感器。 响应于挥发物的组合，产生可以与特定非生理，生理或患病状态相关的反应模式。

公开(公告)号：US20140229487A1

公开(公告)日：2014-08-14

申请号：US14119202

申请日：2012-06-13

申请人： Smruthi Mukund ,  Venugopal Govindaraju ,  Anurag Bhardwaj ,  Achint Oommen Thomas ,  Srirangaraj Setlur

发明人： Smruthi Mukund ,  Venugopal Govindaraju ,  Anurag Bhardwaj ,  Achint Oommen Thomas ,  Srirangaraj Setlur

IPC分类号： G06F17/30

CPC分类号： G06F16/95 ,  G06F16/285 ,  G06F16/437 ,  G06Q50/01

摘要： A system and method are disclosed for user preference augmentation through social network inner-circle knowledge discovery. A user's activity may be captured allow a user preference model to be created. The user preference model is compared to other models in the user's social network. A inner-circle social network is created, and the user preference model is augmented based on other preference models in the inner-circle social network, and the user's own preference for certain categories of information element. Information elements can be provided to the user based on suggestions and the user's preference model. The information elements may be organized such that the more relevant information elements are more easily accessible to the user.

摘要翻译： 公开了通过社交网络内圈知识发现的用户偏好增强的系统和方法。 可以捕获用户的活动，允许创建用户偏好模型。 用户偏好模型与用户社交网络中的其他模型进行比较。 创建内圈社交网络，基于内圈社交网络中的其他偏好模型，以及用户自己对某些类别的信息元素的偏好来增强用户偏好模型。 可以基于建议和用户的偏好模型向用户提供信息元素。 信息元素可以被组织成使得更相关的信息元素更容易被用户访问。

公开(公告)号：US20090116757A1

公开(公告)日：2009-05-07

申请号：US12266472

申请日：2008-11-06

申请人： Depankar Neogi ,  Steven K. Ladd ,  Venugopal Govindaraju

发明人： Depankar Neogi ,  Steven K. Ladd ,  Venugopal Govindaraju

IPC分类号： G06K9/46

CPC分类号： G06K9/00442 ,  G06K9/6885

摘要： A method in a document analysis system automatically extracts from each received electronic document image and text features, in which the image features are indicative of how the document is laid out or textually-organized and therefore indicative of a corresponding document category, next compares the extracted image and text features with feature sets associated with each document category, and then classifies each document to a document category, the feature set of which best matches the extracted features of the document.

摘要翻译： 文档分析系统中的方法自动从每个接收到的电子文档图像和文本特征中提取，其中图像特征指示文档如何布局或文本组织，并且因此指示对应的文档类别，接下来将提取的 图像和文本功能与每个文档类别相关联的功能集，然后将每个文档分类到文档类别，其功能集与文档的提取的功能最匹配。

公开(公告)号：US20080260212A1

公开(公告)日：2008-10-23

申请号：US12008511

申请日：2008-01-11

申请人： Michael D. Moskal ,  Venugopal Govindaraju ,  Philip Charles Kilinskas ,  Jared Delbert Holsopple ,  Thomas Edward Slowe

发明人： Michael D. Moskal ,  Venugopal Govindaraju ,  Philip Charles Kilinskas ,  Jared Delbert Holsopple ,  Thomas Edward Slowe

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/62

CPC分类号： A61B5/164 ,  A61B5/1079 ,  A61B5/7267 ,  G06K9/00093 ,  G06K9/00288 ,  G06K9/00315

摘要： An improved method for detecting truth or deceit (15) comprising providing a video camera (18) adapted to record images of a subject's (16) face, recording images of the subject's face, providing a mathematical model (62) of a face defined by a set of facial feature locations and textures, providing a mathematical model of facial behaviors (78, 82, 98, 104) that correlate to truth or deceit, comparing (64) the facial feature locations to the image (29) to provide a set of matched facial feature locations (70), comparing (77, 90, 94, 100) the mathematical model of facial behaviors to the matched facial feature locations, and providing a deceit indication as a function of the comparison (78, 91, 95, 101 or 23).

摘要翻译： 一种用于检测真相或欺骗的改进方法（15），包括提供适于记录被摄体（16）面部的图像的摄像机（18），记录被检者的脸部的图像，提供面部的数学模型（62） 一组面部特征位置和纹理，提供与真相或欺骗相关的面部行为（78,82,98,104）的数学模型，将面部特征位置与图像（29）进行比较（64）以提供一组 匹配的面部特征位置（70），将面部行为的数学模型与匹配的面部特征位置进行比较（77,90,94,100），并提供作为比较的函数的欺骗指示（78,91,95， 101或23）。