公开(公告)号：US20030023593A1

公开(公告)日：2003-01-30

申请号：US10151814

申请日：2002-05-22

发明人： Richard Schmidt

IPC分类号： G06F007/00

CPC分类号： G06K9/626 ,  G06F16/2465 ,  G06F2216/03 ,  G06N5/025

摘要： A set of rules generated from data examples describing a situation can be created and updated according to new information received in real time. The set of rules provides a description of a domain of knowledge based on logical conclusions that can be drawn from the data. The rules are mutually exclusive, and are reduced to a minimized set that completely represents the data to which the rules are exposed. The outcome of the rules is adoptive to changing data and sensitive to shifts in the conclusions that can be drawn about the data. More recently received data is more heavily weighted than prior data to permit a rapid response to information shifts.

摘要翻译： 根据描述情况的数据示例生成的一组规则可以根据实时接收的新信息创建和更新。 该组规则提供了基于可从数据中得出的逻辑结论的知识领域的描述。 这些规则是相互排斥的，并且被减少到完全表示规则所暴露的数据的最小化集合。 规则的结果是过渡到可以对数据进行改变的数据和敏感的结论。 最近收到的数据比以前的数据更加重要，以允许对信息转移的快速响应。

公开(公告)号：US06487554B2

公开(公告)日：2002-11-26

申请号：US10020346

申请日：2001-10-30

申请人： S. Kicha Ganapathy ,  Jianying Hu ,  Jelena Kovacevic ,  Aleksandra Mojsilovic ,  Robert James Safranek

发明人： S. Kicha Ganapathy ,  Jianying Hu ,  Jelena Kovacevic ,  Aleksandra Mojsilovic ,  Robert James Safranek

IPC分类号： G06F1730

CPC分类号： G06F17/30262 ,  G06F17/3025 ,  G06K9/626 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99936 ,  Y10S707/99945 ,  Y10S707/99948

摘要： The invention provides a perceptually-based system for pattern retrieval and matching, suitable for use in a wide variety of information processing applications. An illustrative embodiment of the system uses a predetermined vocabulary comprising one or more dimensions to extract color and texture information from an information signal, e.g., an image, selected by a user. The system then generates a distance measure characterizing the relationship of the selected image to another image stored in a database, by applying a grammar, comprising a set of predetermined rules, to the color and texture information extracted from the selected image and corresponding color and texture information associated with the stored image. The vocabulary may include dimensions such as overall color, directionality and orientation, regularity and placement, color purity, and pattern complexity and heaviness. The rules in the grammar may include equal pattern, overall appearance, similar pattern, and dominant color and general impression, with each of the rules expressed as a logical combination of values generated for one or more of the dimensions. The distance measure may include separate color and texture metrics characterizing the similarity of the respective color and texture of the two images being compared. The invention is also applicable to other types of information signals, such as sequences of video frames.

公开(公告)号：US06487307B1

公开(公告)日：2002-11-26

申请号：US09262603

申请日：1999-03-04

申请人： Kathleen Hennessey ,  Youling Lin

发明人： Kathleen Hennessey ,  Youling Lin

IPC分类号： G06K903

CPC分类号： G06T7/001 ,  G06K9/626 ,  G06T2207/30148

摘要： A system and method of optically inspecting a structure on a surface of a production object which is supported on a moving inspection platform. The method reliably traces structure edges and stores structure and structure island characteristics. The system uses a camera and a light or energy source to sharply delineate the structure edges. A sequence of images of the object and the structure are captured, and the structure is detected in each image. The structure is then symbolically decomposed into primitives, and a histogram is produced for each image identifying the slope and length of each edge of the structure. The histograms are compared in each image, and are aligned to eliminate differences due to wobble of the inspection platform or differences in magnification. A production structure grammar is then produced from the aligned images. The production structure grammar is compared to a reference structure grammar generated from a defect-free object. Differences in the two grammars, if any, are used to identify missing, misaligned, or misoriented structures on the production object, and to detect foreign objects and other defects.

摘要翻译： 一种用于光学地检查支撑在移动检查平台上的生产对象的表面上的结构的系统和方法。 该方法可靠地跟踪结构边缘并存储结构和结构岛特征。 该系统使用相机和光源或能量源来清楚地描绘结构边缘。 捕获对象和结构的图像序列，并且在每个图像中检测结构。 然后，该结构被符号分解为基元，并且为识别结构的每个边缘的斜率和长度的每个图像产生直方图。 在每个图像中比较直方图，并对齐以消除由于检查平台的摆动或放大倍率引起的差异。 然后从对准的图像产生生产结构语法。 将生产结构语法与从无缺陷对象生成的参考结构语法进行比较。 两种语法的差异（如果有的话）用于识别生产对象上的遗漏，不对齐或不方便的结构，并检测异物和其他缺陷。

公开(公告)号：US20020099721A1

公开(公告)日：2002-07-25

申请号：US10020346

申请日：2001-10-30

申请人： Lucent Technologies Inc.

发明人： S. Kicha Ganapathy ,  Jianying Hu ,  Jelena Kovacevic ,  Aleksandra Mojsilovic ,  Robert James Safranek

IPC分类号： G06F007/00

CPC分类号： G06F17/30262 ,  G06F17/3025 ,  G06K9/626 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99936 ,  Y10S707/99945 ,  Y10S707/99948

摘要： The invention provides a perceptually-based system for pattern retrieval and matching, suitable for use in a wide variety of information processing applications. An illustrative embodiment of the system uses a predetermined vocabulary comprising one or more dimensions to extract color and texture information from an information signal, e.g., an image, selected by a user. The system then generates a distance measure characterizing the relationship of the selected image to another image stored in a database, by applying a grammar, comprising a set of predetermined rules, to the color and texture information extracted from the selected image and corresponding color and texture information associated with the stored image. The vocabulary may include dimensions such as overall color, directionality and orientation, regularity and placement, color purity, and pattern complexity and heaviness. The rules in the grammar may include equal pattern, overall appearance, similar pattern, and dominant color and general impression, with each of the rules expressed as a logical combination of values generated for one or more of the dimensions. The distance measure may include separate color and texture metrics characterizing the similarity of the respective color and texture of the two images being compared. The invention is also applicable to other types of information signals, such as sequences of video frames.

摘要翻译： 本发明提供了一种基于感知的用于模式检索和匹配的系统，适用于各种各样的信息处理应用。 系统的说明性实施例使用包括一个或多个维度的预定词汇表从用户选择的信息信号（例如，图像）中提取颜色和纹理信息。 然后，系统通过将包括一组预定规则的语法应用于从所选择的图像提取的颜色和纹理信息以及相应的颜色和纹理，生成表征所选图像与存储在数据库中的另一图像的关系的距离度量 与存储的图像相关联的信息。 词汇可以包括诸如整体颜色，方向性和取向，规则性和放置，颜色纯度和图案复杂性和沉重性的尺寸。 语法中的规则可以包括相等的模式，整体外观，类似的模式以及主要颜色和一般的印象，其中每个规则表示为为一个或多个维度生成的值的逻辑组合。 距离测量可以包括表征正在比较的两个图像的相应颜色和纹理的相似性的分离的颜色和纹理度量。 本发明也可应用于其他类型的信息信号，例如视频帧序列。

公开(公告)号：US06336109B2

公开(公告)日：2002-01-01

申请号：US08840115

申请日：1997-04-15

申请人： Gary Howard

发明人： Gary Howard

IPC分类号： G06N304

CPC分类号： G06K9/626 ,  G06N3/0427 ,  G06N5/025 ,  G06N7/005

摘要： A method of processing data relating to a plurality of examples using a data classifier arranged to classify input data into one of a number of classes, and a rule inducer, comprising the steps of: (i) inputting a series of inputs to the data classifier so as to obtain a series of corresponding outputs; (ii) inputting said series of outputs and at least some of said series of inputs to the rule inducer so as to obtain a series of rules which describe relationships between the series of inputs to the data classifier and the series of corresponding outputs from the data classifier.

摘要翻译： 一种使用布置成将输入数据分类为多个类别的规则诱导器的数据分类器来处理与多个示例相关的数据的方法，包括以下步骤：（i）将一系列输入输入到数据分类器 以便获得一系列对应的输出;（ii）将所述一系列输出和所述一系列输入中的至少一些输入到规则诱导器，以便获得描述数据的一系列输入之间的关系的一系列规则 分类器和数据分类器的一系列相应输出。

公开(公告)号：US5790645A

公开(公告)日：1998-08-04

申请号：US691885

申请日：1996-08-01

申请人： Tom Elliott Fawcett ,  Foster John Provost

发明人： Tom Elliott Fawcett ,  Foster John Provost

IPC分类号： G06K9/62 ,  H04W12/00 ,  H04Q7/38

CPC分类号： H04W12/12 ,  G06K9/626

摘要： A technique for automatically designing a fraud detection system using a series of machine learning methods. Data mining and constructive induction are combined with more standard machine learning techniques to design methods for detecting fraudulent usage based on profiling customer behavior. Specifically, a rule-learning is used to uncover indicators of fraudulent behavior from a large user database. These indicators are used to create profilers, which then serve as features to the fraud detection system that combines evidence from multiple profilers to generate high-confidence intervention activities when the system is deployed on-line with user data.

摘要翻译： 一种使用一系列机器学习方法自动设计欺诈检测系统的技术。 数据挖掘和建设性归纳结合更多的标准机器学习技术，基于对客户行为的分析来设计检测欺诈性使用的方法。 具体来说，规则学习用于从大型用户数据库中发现欺诈行为的指标。 这些指标用于创建分析器，然后作为欺诈检测系统的特征，将系统与用户数据联机部署在一起，将来自多个分析器的证据组合起来，以产生高可信度的干预活动。

公开(公告)号：US11783408B2

公开(公告)日：2023-10-10

申请号：US16533767

申请日：2019-08-06

申请人： Rajesh Kumar Saligrama Ananthanarayana ,  Sridhar Manthani

发明人： Rajesh Kumar Saligrama Ananthanarayana ,  Sridhar Manthani

IPC分类号： G06F16/51 ,  G06N20/00 ,  G06V20/20 ,  G06V20/30 ,  G06Q30/0601 ,  G06F16/2457 ,  G06N5/04 ,  G06K9/62 ,  G06Q50/00

CPC分类号： G06Q30/0643 ,  G06F16/24578 ,  G06F16/51 ,  G06K9/626 ,  G06K9/6254 ,  G06K9/6257 ,  G06N5/042 ,  G06N20/00 ,  G06V20/20 ,  G06V20/30 ,  G06Q50/01

摘要： In one aspect, a computerized method of computer vision based dynamic universal fashion ontology fashion rating and recommendations includes the step of receiving one or more user-uploaded digital images. The method includes the step of implementing an image classifier on the one or more user-uploaded digital images, to classify a set of user-uploaded fashion content of the one or more user-upload digital images. The method includes the step of receiving a set of fashion rules input by a domain expert. The set of rules determine a set of apparel to match with the set of user-uploaded fashion content, generating a dynamic universal fashion ontology with the image classier and a text classier. The dynamic universal fashion ontology comprises an ontology of set of mutually exclusive attribute classes. The method includes the step of using the dynamic universal fashion ontology to train a specified machine learning based fashion classifications. The method includes the step of using an active learning pipeline to keep the universal fashion ontology up-to-date. The method includes the step of using graphical representation and game theory-based algorithm for outfit generation. The method includes the step of providing an automatic outfit generator, wherein the automatic outfit generator: based on the set of user-uploaded fashion content that is output by the image classifier, matches the set of user-uploaded fashion with a ranked set of apparel suggestions that are based on the set of fashion rules and the specified machine learning based fashion classifications, wherein the automatic outfit generator implements a greedy algorithm to determine the most optimal path in the specified machine learning based fashion classifications to generate each suggested piece of apparel in the ranked set of apparel suggestions. The method includes the step of, based on the highest ranked suggested piece of apparel in the ranked set of apparel suggestions, generating an outfit suggestion. The method includes the step of ranking based on lifestyle parameters including but not limited to weather, brand affinity, brand popularity and novelty of style.

公开(公告)号：US11645310B2

公开(公告)日：2023-05-09

申请号：US17231811

申请日：2021-04-15

申请人： Capital One Services, LLC

发明人： Vincent Pham ,  Austin Walters ,  Fardin Abdi Taghi Abad ,  Kenneth Taylor ,  Reza Farivar ,  Anh Truong ,  Jeremy Goodsitt

IPC分类号： G06F17/00 ,  G06F21/62 ,  G06F16/11 ,  G06N5/025 ,  G06K9/62

CPC分类号： G06F21/6245 ,  G06F16/122 ,  G06K9/626 ,  G06N5/025

摘要： An exemplary system, method, and computer-accessible medium can include, for example, establishing a unique rule-identifier in one-to-one correspondence with at least one set of unknown time-variable rules against which data is to be made compliant, obtaining at least one set of data marked compliant against the one or more set of rules, obtaining meta-data from the compliant data, obtaining at least one set of data marked non-compliant against the set of unknown time-variable rules, extracting meta-data from the non-compliant data, joining the set of compliant and non-compliant metadata to generate a set of estimated rules corresponding to the rule-identifier based at least one of (i) the meta-data of the joined set and (ii) machine learning algorithms.

公开(公告)号：US20180232686A1

公开(公告)日：2018-08-16

申请号：US15434348

申请日：2017-02-16

申请人： TOSHIBA TEC KABUSHIKI KAISHA

发明人： Masaaki YASUNAGA

IPC分类号： G06Q10/08 ,  G06K9/32 ,  G06T7/70 ,  G06K9/46 ,  G06K9/00 ,  G06K7/10

CPC分类号： G06Q10/087 ,  G06K7/10861 ,  G06K9/3258 ,  G06K9/4671 ,  G06K9/626 ,  G06K9/72

摘要： According to one embodiment, an article management apparatus includes an interface and a processor. The interface acquires a image captured by photographing a check range including an area where an article and a label are arranged. The processor specifies a kind and a position of the article existing in the image, specifies a position of the label existing in the image, and determines whether the position of the label specified from the image is a correct position according to an arrangement rule, relative to the position of the article specified from the image.

公开(公告)号：US20180197093A1

公开(公告)日：2018-07-12

申请号：US15912788

申请日：2018-03-06

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Karl J. Cama ,  Norbert Herman ,  Shubhadip Ray

IPC分类号： G06N5/04 ,  G08G1/09 ,  G01S19/14 ,  B60W40/00 ,  G08G1/052 ,  G08G1/048 ,  G08G1/04 ,  G08G1/01 ,  G06Q50/30 ,  G06Q40/08 ,  G06K9/62 ,  G06K9/00 ,  G06F17/30 ,  G06N3/08 ,  G08G1/0962

CPC分类号： G06N5/04 ,  B60W40/00 ,  G01S19/14 ,  G06F16/29 ,  G06K9/00791 ,  G06K9/00832 ,  G06K9/626 ,  G06N3/08 ,  G06N5/046 ,  G06Q40/08 ,  G06Q50/30 ,  G08G1/0112 ,  G08G1/0129 ,  G08G1/0141 ,  G08G1/04 ,  G08G1/048 ,  G08G1/052 ,  G08G1/093 ,  G08G1/09626

摘要： A vehicle accident detection method and system is provided. The method includes receiving location coordinates associated with a location of an occurring vehicular accident. Data associated with possible causes of the vehicular accident is received from sensors. Traffic related rules associated with a geographical location are retrieved and analyzed with respect to the data. Parameters associated with at least one vehicle involved in the vehicular accident and a possible cause are determined via execution of programming logic and transmitted to additional systems. The possible cause for the vehicular accident is determined from all possible causes based on matching current and historical accident circumstances. Additionally, weighting factors may be available and adjusted over time for accurate accident detection. A possible cause comprising a greatest weighting factor may be used to identify a most likely cause.