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1. 发明授权

EP2396749B8 METHODS FOR IDENTIFYING IMAGING DEVICES AND CLASSIFYING IMAGES ACQUIRED BY UNKNOWN IMAGING DEVICES 有权
标题翻译：识别成像设备和分类未知成像设备获取的图像的方法
公开(公告)号：EP2396749B8
公开(公告)日：2015-06-24
申请号：EP10711923.2
申请日：2010-02-15
申请人： Forensic Pathways
发明人： CHANG-TSUN, Li
IPC分类号： G06K9/40 , G06K9/62
CPC分类号： G06K9/40 , G06K9/6222

2. 发明公开

EP2364473A2 METHOD AND SYSTEM FOR CLUSTERING DATA POINTS 无效
标题翻译：方法和系统数据点的集群
公开(公告)号：EP2364473A2
公开(公告)日：2011-09-14
申请号：EP09825577.1
申请日：2009-11-10
申请人： Google Inc.
发明人： AILON, Nir , LIBERTY, Edo , KHALSA, Harishabd
IPC分类号： G06F7/544
CPC分类号： G06F17/30598 , G06F17/30017 , G06F17/3071 , G06F17/30943 , G06K9/6222
摘要： Systems and methods for clustering a group of data points based on a measure of similarity between each pair of data points in the group are provided. A pairwise similarity function can be estimated for each pair of data points in the group. A clustering algorithm can be executed to create clusters and associate data points with the clusters using the pairwise similarity function. The algorithm can be iterated multiple times until a stopping condition is reached in order to reduce variance in the output of the algorithm. The pairwise similarity function for each pair of data points can be updated between iterations of the algorithm and the results of each iteration can be aggregated. The data in each data point associated with a cluster can be consolidated into a consolidated data point.

3. 发明授权

EP0596412B1 Image clustering apparatus 失效
标题翻译： Bildgruppierungsvorrichtung
公开(公告)号：EP0596412B1
公开(公告)日：1999-03-31
申请号：EP93117501.2
申请日：1993-10-28
申请人： MATSUSHITA ELECTRIC INDUSTRIAL CO., LTD.
发明人： Etoh, Minoru
IPC分类号： G06T9/20
CPC分类号： G06K9/6222 , G06K9/342 , G06K9/38 , G06K9/4652 , G06K9/6272 , G06T7/11 , G06T7/143

4. 发明公开

EP0569549A1 PREDICTIVE SELF-ORGANIZING NEURAL NETWORK 失效
标题翻译：预测性自我组织神经网络。
公开(公告)号：EP0569549A1
公开(公告)日：1993-11-18
申请号：EP92907182.0
申请日：1992-01-30
申请人： TRUSTEES OF BOSTON UNIVERSITY
发明人： CARPENTER, Gail, A. , GROSSBERG, Stephen , REYNOLDS, John, H.
IPC分类号： G06N3
CPC分类号： G06K9/6222 , G06N3/0409
摘要： Un sous-système A de reconnaissance de configuration réagit à une entrée A de représentation de caractéristique pour sélectionner une représentation catégorielle A et prédire une représentation catégorielle B, ainsi que son entrée associée B de représentation de caractéristique. Pendant les expériences d'apprentissage, on compare une représentation catégorielle B prédite à celle qu'on obtient par l'intermédiaire d'un sous-système B de reconnaissance de configuration. Si l'association est mauvaise, un paramètre de surveillance du sous-système A de reconnaissance de configuration amplifie son activité pour provoquer la remise à l'état initial de la première sélection de représentation catégorielle. On peut prétraiter les entrées dans les sous-systèmes de reconnaissance de configuration pour effectuer un codage complémentaire desdites entrées.

5. 发明公开

EP2468005A4 BACKGROUND MODEL FOR COMPLEX AND DYNAMIC SCENES 审中-公开
公开(公告)号：EP2468005A4
公开(公告)日：2017-12-13
申请号：EP10810411
申请日：2010-08-11
申请人： AVIGILON PATENT HOLDING 1 CORP
发明人： COBB WESLEY KENNETH , SEOW MING-JUNG , YANG TAO
IPC分类号： H04N7/18 , H04N5/262
CPC分类号： G06T7/20 , G06K9/00335 , G06K9/00718 , G06K9/00771 , G06K9/6218 , G06K9/6222 , G06K9/66 , G06K2009/00738 , G06T7/254 , G06T2207/10016 , G06T2207/20084 , G06T2207/30196 , G06T2207/30232
摘要： Techniques are disclosed for learning and modeling a background for a complex and/or dynamic scene over a period of observations without supervision. A background/foreground component of a computer vision engine may be configured to model a scene using an array of ART networks. The ART networks learn the regularity and periodicity of the scene by observing the scene over a period of time. Thus, the ART networks allow the computer vision engine to model complex and dynamic scene backgrounds in video.

6. 发明公开

EP2499569A4 CLUSTERING METHOD AND SYSTEM 有权
标题翻译：聚集 - 自动化系统
公开(公告)号：EP2499569A4
公开(公告)日：2017-01-18
申请号：EP10830380
申请日：2010-10-01
申请人： ALIBABA GROUP HOLDING LTD
发明人： ZHANG TAO , GUO JIAQING
IPC分类号： G06F9/46 , G06F17/30
CPC分类号： G06F17/30864 , G06F17/3071 , G06K9/6222
摘要： The present disclosure discloses a method and system for clustering. The method includes: vectorizing a plurality of readable files to obtain a plurality of file vectors corresponding to the multiple readable files; extracting a total characteristic vector based on the file vectors; and clustering the readable files based on a ranking result of a respective similarity degree between the total characteristic vector and each of the file vectors. The present disclosure also provides a method and system for clustering webpages. An application of the methods or systems described in the present disclosure reduces the number of times of comparison of similarity degrees between file vectors, and further reduces the resulting burden on system resources. This advantageously results in reduced usage of CPU and memory, reduced run time of clustering and improved performance of clustering.
摘要翻译：本公开公开了一种用于聚类的方法和系统。该方法包括：对多个可读文件进行矢量化以获得与多个可读文件相对应的多个文件向量; 基于文件向量提取总特征向量; 并且基于总特征向量和每个文件向量之间的相应相似度的排名结果对可读文件进行聚类。本公开还提供了用于聚类网页的方法和系统。本公开中描述的方法或系统的应用减少了文件向量之间的相似度的比较次数，并进一步减少了对系统资源的负担。这有利地减少了CPU和存储器的使用，缩短了集群的运行时间并提高了集群的性能。

7. 发明公开

EP2955666A1 Image recognition device and method for registering feature data in image recognition device 有权
标题翻译： Bilderkennungsvorrichtung und Verfahren zur Registrierung von Merkmalen in der Bilderkennungsvorrichtung
公开(公告)号：EP2955666A1
公开(公告)日：2015-12-16
申请号：EP15169262.1
申请日：2015-05-26
申请人： OMRON CORPORATION
发明人： Irie, Atsushi
IPC分类号： G06K9/62
CPC分类号： G06K9/00624 , G06F17/30247 , G06K9/00295 , G06K9/00926 , G06K9/4604 , G06K9/6222 , G06K9/6263 , G06T7/30
摘要： Provided is a technology of suppressing degradation of distinguishability from another object when new feature data is added to an already-registered object. An image recognition device includes a database in which pieces of feature data of plural objects are registered while divided into classes in each object, an identification unit that identifies an unknown object, and a feature data registration unit that registers the feature data in the database. The database can set plural classes to the identical object. In adding new feature data to a first object already registered in the database, the feature data registration unit sets a new class other than the existing class to the first object, and registers the new feature data in the new class, when a second object satisfying a predetermined similar condition with the new feature data exists in the database.
摘要翻译：提供了当将新的特征数据添加到已经注册的对象时抑制与另一个对象的区别性的劣化的技术。图像识别装置包括：数据库，其中登记多个对象的特征数据，同时分成每个对象中的类别，识别单元，识别未知对象;以及特征数据登记单元，其将特征数据登记在数据库中。数据库可以将多个类设置为相同的对象。在向数据库中已注册的第一对象添加新特征数据时，特征数据登记单元将第一对象之外的现有类别的新类设置为新类，并将新特征数据登记在新类中，当第二对象满足时在数据库中存在具有新特征数据的预定类似条件。

8. 发明公开

EP2684120A4 MULTIDIMENSIONAL CLUSTER ANALYSIS 审中-公开
标题翻译：多维聚类分析
公开(公告)号：EP2684120A4
公开(公告)日：2015-05-06
申请号：EP12755732
申请日：2012-03-09
申请人： NEWSOUTH INNOVATIONS PTY LTD , ST VINCENTS HOSP SYDNEY
发明人： JING JUNMEI , KOCH INGE , ZAUNDERS JOHN JAMES
IPC分类号： G06F17/18 , G01N1/20 , G01N15/14 , G06F7/00 , G06F17/30 , G06F19/24 , G06K9/62
CPC分类号： G06F19/24 , G01N15/14 , G01N2015/1477 , G06F17/18 , G06K9/6222

9. 发明公开

EP2684120A1 MULTIDIMENSIONAL CLUSTER ANALYSIS 审中-公开
标题翻译： MEHRDIMENSIONALE CLUSTERANALSESE
公开(公告)号：EP2684120A1
公开(公告)日：2014-01-15
申请号：EP12755732.0
申请日：2012-03-09
申请人： NewSouth Innovations Pty Limited , St Vincent's Hospital Sydney Limited
发明人： JING, Junmei , KOCH, Inge , ZAUNDERS, John, James
IPC分类号： G06F7/00 , G01N1/20
CPC分类号： G06F19/24 , G01N15/14 , G01N2015/1477 , G06F17/18 , G06K9/6222
摘要： Disclosed is a method of cluster analysis of a data set of multidimensional observations. The method comprises: determining a set of quasi-optimal binwidths for the data set; partitioning, for a current binwidth in the set of quasi-optimal binwidths, the data set into a plurality of bins of width equal to the current binwidth; determining the number of modes of the partitioned data set for the current binwidth; and repeating the partitioning and determining the number of modes for each binwidth in the set of quasi-optimal binwidths. The number of clusters in the data set is the largest determined number of modes over the set of quasi-optimal binwidths.

10. 发明公开

EP1025514A1 MULTIDIMENSIONAL DATA CLUSTERING AND DIMENSION REDUCTION FOR INDEXING AND SEARCHING 有权
标题翻译：数据分组和降维的索引和搜索的多维数据
公开(公告)号：EP1025514A1
公开(公告)日：2000-08-09
申请号：EP98950192.9
申请日：1998-10-27
申请人： International Business Machines Corporation , IBM United Kingdom Limited
发明人： CASTELLI, Vittorio , LI, Chung-Sheng , THAMASIAN, Alexander
IPC分类号： G06F17/30
CPC分类号： G06F17/30333 , G06F17/30619 , G06K9/6222 , G06K9/6272 , Y10S707/99932 , Y10S707/99933 , Y10S707/99935
摘要： An improved multidimensional data indexing technique that generates compact indexes such that most or all of the index can reside in main memory at any time. During the clustering and dimensionality reduction, clustering information and dimensionality reduction information are generated for use in a subsequent search phase. The indexing technique can be effective even in the presence of variables which are not highly correlated. Other features provide for efficiently performing exact and nearest neighbor searches using the clustering information and dimensionality reduction information. One example of the dimensionality reduction uses a singular value decomposition technique. The method can also be recursively applied to each of the reduced-dimensionality clusters. The dimensionality reduction can also be applied to the entire database as a first step of the index generation.

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