专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

21. 发明申请

US20160180083A1 Method, computer program and system that uses behavioral biometric algorithms 审中-公开
标题翻译：使用行为生物识别算法的方法，计算机程序和系统
公开(公告)号：US20160180083A1
公开(公告)日：2016-06-23
申请号：US15048021
申请日：2016-02-19
申请人： BehavioSec
发明人： Neil Costigan , Ingo Deutschmann , Tony Libell , Johanna Skarpman Munter , Peder Nordström
IPC分类号： G06F21/55
CPC分类号： G06F21/55 , G06F21/316 , G06F21/32 , G06F2221/2133 , G06K9/00355 , G06K9/00899 , G06K9/6296
摘要： A computer-implemented method, computer program product, and system for determining whether a user exhibits machine behavior, or does not exhibit human-like behavior, thereby to authenticate the user for access to a software service.
摘要翻译：计算机实现的方法，计算机程序产品和用于确定用户是否呈现机器行为或者不呈现人类行为的系统，从而认证用户访问软件服务。

22. 发明申请

US20160098620A1 METHOD AND SYSTEM FOR OBJECT IDENTIFICATION 审中-公开
标题翻译：用于对象识别的方法和系统
公开(公告)号：US20160098620A1
公开(公告)日：2016-04-07
申请号：US13793053
申请日：2013-03-11
申请人： 1626628 Ontario Limited
发明人： Wolfhard GEILE
IPC分类号： G06K9/62 , G06K9/46 , G06T7/40 , G06K9/32
CPC分类号： G06K9/6296 , G06K9/469
摘要： A system and method for object classification is provided. The system includes a computing device that typically comprises a processor configured to receive data and detect an object within the data. Once an object is detected, it can be decomposed into sub-objects and connectivities. Based on the sub-objects and connectivities parameters can be generated. Moreover, based on at least one of sub-objects, connectivities and parameters objective measures can be generated. The object can then be classified based on the objective measures. The parameters can be linked into into linked parameters. Linked classification measures can be generated based on linked parameters. The system can also detect environment objects that form the environment of the detected object. Similar to an object, an environment object can be decomposed into environment sub-objects, and subsequently to environment parameters. Objective measure generation can then be further based on the environment
摘要翻译：提供了一种用于对象分类的系统和方法。该系统包括计算设备，其通常包括被配置为接收数据并检测数据内的对象的处理器。一旦检测到对象，它就可以分解成子对象和连接。基于子对象和连接参数可以生成参数。此外，基于至少一个子对象，可以产生连接性和参数客观度量。然后可以根据客观措施对该对象进行分类。参数可以链接到链接的参数中。可以基于链接参数生成链接分类度量。系统还可以检测形成检测对象环境的环境对象。类似于一个对象，环境对象可以分解为环境子对象，然后分解为环境参数。然后可以根据环境进一步实现客观测量生成

23. 发明授权

US09253189B1 Generating weights for biometric tokens in probabilistic matching systems 有权
公开(公告)号：US09253189B1
公开(公告)日：2016-02-02
申请号：US14470495
申请日：2014-08-27
申请人： International Business Machines Corporation
发明人： Michael Poplavski , Scott Schumacher , Prachi Snehal , Sean J. Welleck , Alan Xia , Yinle Zhou
IPC分类号： G06F21/00 , H04L29/06
CPC分类号： G06K9/00926 , G06F21/32 , G06K9/00067 , G06K9/00087 , G06K9/00268 , G06K9/00288 , G06K9/6215 , G06K9/6296 , H04L63/0807 , H04L63/0861
摘要： Generating weights for biometric tokens in probabilistic matching systems is disclosed, where these weights are generated from computations performed on matched sets and unmatched sets of a reference data set. In an embodiment, scores from a similarity scoring function are distributed among bins, and a weight is computed for each bin as the log of (the matched set ratio/the unmatched set ratio), where the ratios are computed as the number of scores in a particular bin as compared to the total size of the set. The weights may then be used subsequently with scores computed by the scoring function to assess confidence of a computed similarity score, and are directed toward making the output of the probabilistic matching system more data-driven and more accurate.

24. 发明申请

US20150334768A1 METHOD AND APPARATUS FOR CONTROL OF MULTIPLE AUTONOMOUS MOBILE NODES BASED ON DYNAMIC SITUATIONAL AWARENESS DATA 有权
标题翻译：基于动态状态意识数据控制多个自动移动节点的方法和装置
公开(公告)号：US20150334768A1
公开(公告)日：2015-11-19
申请号：US14716841
申请日：2015-05-19
申请人： EPISYS SCIENCE, INC.
发明人： Nadeesha Oliver RANASINGHE , Bong Kyun RYU , Wei-Min SHEN
IPC分类号： H04W76/04 , H04W76/02 , H04W4/02 , H04W72/04 , H04W24/10
CPC分类号： H04L67/12 , G05D1/00 , G05D1/104 , G06K9/00664 , G06K9/6284 , G06K9/6296 , G06K9/6297 , G07C5/02 , G07C5/08 , H04W4/021 , H04W4/023 , H04W24/10 , H04W40/248 , H04W72/0406 , H04W76/11 , H04W76/25 , H04W84/005 , H04W84/18
摘要： Techniques for autonomously establishing, maintaining, and repairing of a wireless communication network among multiple autonomous mobile nodes (AMN) are provided. The multiple AMNs are flown towards a first node. A tentacle is established with the first node and extended to cover a second node over a distance, thereby establishing a wireless communication network between the first node and the second node via the multiple AMNs. Any damage to the established wireless communication network or tentacle may be autonomously detected and repaired by using spare AMNs. Further, the communication network may be used to enable autonomous detection, tracking of the second node, as well as autonomous detection of a contamination area, based on data received from one or more sensors onboard the AMNs deployed in the air.
摘要翻译：提供了在多个自主移动节点（AMN）中自主建立，维护和修复无线通信网络的技术。多个AMN向第一个节点飞行。与第一节点建立触角并将其延伸以覆盖一段距离的第二节点，从而经由多个AMN在第一节点和第二节点之间建立无线通信网络。对已建立的无线通信网络或触手的任何损坏可以通过使用备用AMN自动检测和修复。此外，基于从部署在空中的AMN上的一个或多个传感器接收的数据，通信网络可以用于实现对第二节点的自主检测，跟踪以及污染区域的自动检测。

25. 发明申请

US20150332523A1 METHOD AND APPARATUS FOR BIOLOGICALLY INSPIRED AUTONOMOUS INFRASTRUCTURE MONITORING 有权
标题翻译：生物自动基础设施监测的方法与装置
公开(公告)号：US20150332523A1
公开(公告)日：2015-11-19
申请号：US14716852
申请日：2015-05-19
申请人： EpiSys Science, Inc.
发明人： Nadeesha Oliver RANASINGHE , Bong Kyun RYU , Wei-Min SHEN
IPC分类号： G07C5/02 , G07C5/08
CPC分类号： H04L67/12 , G05D1/00 , G05D1/104 , G06K9/00664 , G06K9/6284 , G06K9/6296 , G06K9/6297 , G07C5/02 , G07C5/08 , H04W4/021 , H04W4/023 , H04W24/10 , H04W40/248 , H04W72/0406 , H04W76/11 , H04W76/25 , H04W84/005 , H04W84/18
摘要： A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.
摘要翻译：提供了一种方法和装置，用于自主地检测和报告自主移动节点的动作中的异常，或者对于运营商的自治移动节点群的行为。由于各种故障或外部影响（例如自然天气现象，敌人威胁），自主移动节点可能会经历异常或意外情况。在训练阶段期间，可以在正常情况下执行动作或行为时，从自主移动节点或节点群的一个或多个传感器接收的测量数据建立预测模型和结构化模型。预测模型预测行动或行为的预期结果，结构化模型有助于量化学习动作或行为与当前观察到的情境的相似性。基于测量数据，适用的模型可以用于动作或行为中异常检测的动作或行为。

26. 发明申请

US20150169999A1 Refining Image Relevance Models 有权
标题翻译：精炼图像相关性模型
公开(公告)号：US20150169999A1
公开(公告)日：2015-06-18
申请号：US13363979
申请日：2012-02-01
申请人： Thomas J. Duerig , Jason E. Weston , Charles J. Rosenberg , Kunlong Gu , Samy Bengio
发明人： Thomas J. Duerig , Jason E. Weston , Charles J. Rosenberg , Kunlong Gu , Samy Bengio
IPC分类号： G06K9/62 , G06K9/52 , G06F17/30
CPC分类号： G06F17/30675 , G06F17/3028 , G06K9/52 , G06K9/6202 , G06K9/6256 , G06K9/6262 , G06K9/6296 , G06K9/66
摘要： Methods, systems and apparatus for refining image relevance models. In general, one aspect includes receiving a trained image relevance model that generates relevance measures of content feature values of images to a query, identifying a first threshold number of common content feature values for the set of training images, the common content feature values being identified as a set of content feature values that are each shared by at least a portion of the training images, identifying a subset of the set of training images having a quantity of the common content feature values greater than a second threshold number of content features values, and generating a re-trained image relevance model based on content feature values of the set of training images, wherein content feature values of the subset of training images are weighted higher than content feature values of the training images not in the subset.
摘要翻译：图像相关模型的方法，系统和装置。通常，一个方面包括接收经过训练的图像相关性模型，该模型生成图像的内容特征值的相关性度量到查询，识别该组训练图像的公共内容特征值的第一阈值数量，所识别的共同内容特征值作为由训练图像的至少一部分共享的一组内容特征值，识别具有大于第二阈值数量的内容特征值的公共内容特征值的量的训练图像集合的子集，以及基于训练图像集合的内容特征值生成重新训练的图像相关性模型，其中训练图像的子集的内容特征值被加权高于不在该子集中的训练图像的内容特征值。

27. 发明申请

US20150149475A1 DATA HARMONIC ANALYSIS METHOD AND DATA ANALYSIS DEVICE 审中-公开
标题翻译：数据和谐分析方法和数据分析装置
公开(公告)号：US20150149475A1
公开(公告)日：2015-05-28
申请号：US14401623
申请日：2013-07-05
申请人： HITACHI, LTD.
发明人： Kenji Nakahira , Atsushi Miyamoto
IPC分类号： G06F17/30
CPC分类号： G06F16/9024 , G06K9/6296
摘要： The present invention provides a data harmonic analysis method and a data analysis device for data analysis in which a plurality of data items to be analyzed are acquired; similarities among a plurality of data sources that generate the data values of the acquired plurality of data items are obtained; a hierarchical graph is generated as a graph structure indicating the acquired plurality of data items, with a plurality of child nodes corresponding to the plurality of data items being located in a lower layer and a parent node that has no data item being located in an upper layer; the connection rate between the parent node and each of the plurality of child nodes is calculated by using the information of the obtained similarities in the generated hierarchical graph; and harmonic analysis is applied, on the basis of the generated hierarchical graph, to the data values in the graph.
摘要翻译：本发明提供一种用于数据分析的数据谐波分析方法和数据分析装置，其中获取要分析的多个数据项; 获得生成所获取的多个数据项的数据值的多个数据源之间的相似度; 生成分层图作为指示所获取的多个数据项的图形结构，其中与多个数据项对应的多个子节点位于下层，并且没有数据项位于上层的父节点层; 通过使用生成的分层图中获得的相似度的信息来计算父节点与多个子节点中的每一个之间的连接速率; 并根据生成的分层图将谐波分析应用于图中的数据值。

28. 发明申请

US20140241599A1 PROVIDING REAL-TIME MARKER DETECTION FOR A STENT IN MEDICAL IMAGING 有权
标题翻译：为医学成像提供实时标记检测
公开(公告)号：US20140241599A1
公开(公告)日：2014-08-28
申请号：US13778454
申请日：2013-02-27
申请人： Terrence Chen , Yu Wang , Peter Durlak , Dorin Comaniciu
发明人： Terrence Chen , Yu Wang , Peter Durlak , Dorin Comaniciu
IPC分类号： A61B5/00
CPC分类号： A61B5/0033 , A61B6/12 , A61B6/487 , A61B6/5217 , A61B2576/02 , G06K9/6278 , G06K9/6296 , G06K2209/057 , G06T7/0012 , G06T7/246 , G06T7/277 , G06T2207/30052 , G06T2207/30204
摘要： Real-time marker detection in medical imaging of a stent may be provided. A plurality of frames of image data may be obtained. A plurality of candidate markers for the stent may be determined in the plurality of frames of image data. One or more markers from the plurality of candidate markers may be detected. The detecting may be based on automatic initialization using a subset of frames of image data from the plurality of frames of image data. The detecting may be performed in real-time with the obtaining.
摘要翻译：可以提供支架的医学成像中的实时标记检测。可以获得多个图像数据帧。可以在图像数据的多个帧中确定用于支架的多个候选标记。可以检测来自多个候选标记的一个或多个标记。检测可以基于使用来自图像数据的多个帧的图像数据的帧的子集的自动初始化。可以通过获取来实时检测。

29. 发明申请

US20140220527A1 Video-Based System for Improving Surgical Training by Providing Corrective Feedback on a Trainee's Movement 审中-公开
标题翻译：基于视频的系统，通过对实习生运动提供纠正反馈来改善外科手术训练
公开(公告)号：US20140220527A1
公开(公告)日：2014-08-07
申请号：US14174372
申请日：2014-02-06
申请人： Baoxin Li , Peng Zhang , Qiang Zhang , Lin Chen
发明人： Baoxin Li , Peng Zhang , Qiang Zhang , Lin Chen
IPC分类号： G09B9/00
CPC分类号： G09B9/00 , G06K9/00664 , G06K9/4642 , G06K9/6296 , G06K2209/05 , G09B19/003 , G09B23/285
摘要： An intelligent system that supports real-time and offline feedback based on automated analysis of a trainee's performance using data streams captured in the training process is disclosed.
摘要翻译：公开了一种支持实时和离线反馈的智能系统，其基于使用在训练过程中捕获的数据流对受训者的性能的自动分析。

30. 发明申请

US20130283378A1 SYSTEM AND METHOD FOR DISTINGUISHING HUMAN SWIPE INPUT SEQUENCE BEHAVIOR AND USING A CONFIDENCE VALUE ON A SCORE TO DETECT FRAUDSTERS 审中-公开
标题翻译：用于辨别人类影响输入序列行为的系统和方法，并在分数上使用置信度来检测FRAUDSTERS
公开(公告)号：US20130283378A1
公开(公告)日：2013-10-24
申请号：US13866183
申请日：2013-04-19
申请人： BEHAVIOMETRICS AB
发明人： Neil Costigan , Ingo Deutschmann , Tony Libell , Johan Lindholm , Peder Nordström
IPC分类号： G06F21/55
CPC分类号： G06F21/55 , G06F21/316 , G06F2221/2133 , G06K9/00355 , G06K9/6296 , G06N5/02
摘要： Recording, analyzing and categorizing of user interface input via touchpad, touch screens or any device that can synthesize gestures from touch and pressure into input events. Such as, but not limited to, smart phones, touch pads and tablets. Humans may generate the input. The analysis of data may include statistical profiling of individual users as well as groups of users, the profiles can be stored in, but not limited to data containers such as files, secure storage, smart cards, databases, off device, in the cloud etc. A profile may be built from user/users behavior categorized into quantified types of behavior and/or gestures. The profile might be stored anonymized. The analysis may take place in real time or as post processing. Profiles can be compared against each other by all the types of quantified behaviors or by a select few.
摘要翻译：通过触摸板，触摸屏或任何可以将手势从触摸和压力合成输入事件的设备进行记录，分析和分类。例如但不限于智能手机，触摸板和平板电脑。人类可能会产生输入。数据分析可能包括个人用户以及用户组的统计分析，配置文件可以存储在但不限于数据容器，如文件，安全存储，智能卡，数据库，关闭设备，云等。可以从分类为量化类型的行为和/或手势的用户/用户行为构建简档。配置文件可能被匿名存储。分析可能会实时发生或作为后期处理。配置文件可以通过所有类型的量化行为或少数几种进行比较。

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