Supplementing biometric identification with device identification
    1.
    发明授权
    Supplementing biometric identification with device identification 有权
    用设备识别补充生物识别

    公开(公告)号:US09436816B2

    公开(公告)日:2016-09-06

    申请号:US12970100

    申请日:2010-12-16

    申请人: Nir Nice Eyal Krupka

    发明人: Nir Nice Eyal Krupka

    IPC分类号: G06F21/32 G06Q50/26

    摘要: A computer may identify an individual according to one or more biometrics based on various physiological aspects of the individual, such as metrics of various features of the face, gait, fingerprint, or voice of the individual. However, biometrics are often computationally intensive to compute, inaccurate, and unable to scale to identify an individual among a large set of known individuals. Therefore, the biometric identification of an individual may be supplemented by identifying one or more devices associated with the individual (e.g., a mobile phone, a vehicle driven by the individual, or an implanted medical device). When an individual is registered for identification, various device identifiers of devices associated with the individual may be stored along with the biometrics of the individual. Individuals may then be identified using both biometrics and detected device identifiers, thereby improving the efficiency, speed, accuracy, and scalability of the identification.

    摘要翻译: 计算机可以基于个体的各种生理方面根据一个或多个生物特征识别个体,例如个体的各种特征的度量,步态,指纹或个体的声音。 然而,生物识别通常对于计算,不精确和无法扩展以在一大群已知个体中识别个体而计算密集。 因此,可以通过识别与个人(例如,移动电话,由个体驱动的车辆或植入的医疗设备)相关联的一个或多个设备来补充个体的生物特征识别。 当个人被注册用于识别时,可以与个体的生物特征一起存储与个人相关联的设备的各种设备标识符。 然后可以使用生物特征和检测到的设备标识符来识别个体,从而提高识别的效率,速度,准确性和可扩展性。

    SUPPLEMENTING BIOMETRIC IDENTIFICATION WITH DEVICE IDENTIFICATION
    2.
    发明申请
    SUPPLEMENTING BIOMETRIC IDENTIFICATION WITH DEVICE IDENTIFICATION 有权
    用设备识别来补充生物识别

    公开(公告)号:US20120154117A1

    公开(公告)日:2012-06-21

    申请号:US12970100

    申请日:2010-12-16

    申请人: Nir Nice Eyal Krupka

    发明人: Nir Nice Eyal Krupka

    IPC分类号: G06F7/04

    摘要: A computer may identify an individual according to one or more biometrics based on various physiological aspects of the individual, such as metrics of various features of the face, gait, fingerprint, or voice of the individual. However, biometrics are often computationally intensive to compute, inaccurate, and unable to scale to identify an individual among a large set of known individuals. Therefore, the biometric identification of an individual may be supplemented by identifying one or more devices associated with the individual (e.g., a mobile phone, a vehicle driven by the individual, or an implanted medical device). When an individual is registered for identification, various device identifiers of devices associated with the individual may be stored along with the biometrics of the individual. Individuals may then be identified using both biometrics and detected device identifiers, thereby improving the efficiency, speed, accuracy, and scalability of the identification.

    摘要翻译: 计算机可以基于个体的各种生理方面根据一个或多个生物特征识别个体,例如个体的各种特征的度量,步态,指纹或个体的声音。 然而,生物识别通常对于计算,不精确和无法扩展以在一大群已知个体中识别个体而计算密集。 因此,可以通过识别与个人(例如,移动电话,由个体驱动的车辆或植入的医疗设备)相关联的一个或多个设备来补充个体的生物特征识别。 当个人被注册用于识别时,可以与个体的生物特征一起存储与个人相关联的设备的各种设备标识符。 然后可以使用生物特征和检测到的设备标识符来识别个体,从而提高识别的效率,速度,准确性和可扩展性。

    Broadcast identifier enhanced facial recognition of images
    3.
    发明授权
    Broadcast identifier enhanced facial recognition of images 有权
    广播标识符增强了图像的面部识别

    公开(公告)号:US08831294B2

    公开(公告)日:2014-09-09

    申请号:US13162595

    申请日:2011-06-17

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00221 G06K9/00677

    摘要: A system may recognize faces within an image by using wireless identifiers captured at the time the image was taken to determine a list of candidates for facial recognition. A database may contain people associated with one or more wireless identifiers, which may be identifiers associated with various protocols, such as Bluetooth, cellular telephones, WiFi, or other protocols. In some cases, the list of candidates may be expanded by using candidate's social networks. The recognized faces may be tagged in the image as metadata, then used in various scenarios. In one scenario, an album of images from an event may be created by matching people who were tagged in images. In another scenario, people may exchange business contact information or social network contacts by taking images of each other.

    摘要翻译: 系统可以通过使用在拍摄图像时捕获的无线标识符来确定用于面部识别的候选者的列表来识别图像内的面部。 数据库可以包含与一个或多个无线标识符相关联的人员,其可以是与诸如蓝牙,蜂窝电话,WiFi或其他协议之类的各种协议相关联的标识符。 在某些情况下,可以通过使用候选人的社交网络来扩大候选人名单。 识别的面部可以在图像中被标记为元数据,然后在各种情况下使用。 在一种情况下,可以通过匹配在图像中标记的人员创建来自事件的图像的专辑。 在另一种情况下,人们可以通过拍摄彼此的图像来交换业务联系信息或社交网络联系人。

    FINDING AND SHARING OF DIGITAL IMAGES BASED ON SHARED FACE MODELS
    4.
    发明申请
    FINDING AND SHARING OF DIGITAL IMAGES BASED ON SHARED FACE MODELS 审中-公开
    基于共享面模型查找和共享数字图像

    公开(公告)号:US20110148857A1

    公开(公告)日:2011-06-23

    申请号:US12646606

    申请日:2009-12-23

    IPC分类号: G06T15/00 G06K9/54

    CPC分类号: G06F16/5854

    摘要: Systems and methods are described herein for finding and sharing digital images of a user, such as digital photographs of the user, that are located in collections of digital images belonging to others. In accordance with at least one implementation, a face model of a first user is built using a first user computer, wherein the face model is built based on digital images of the first user stored on or accessible to the first user computer. The face model of the first user is then made accessible to a second user computer for use by the second user computer in finding digital images of the first user stored on or accessible to the second user computer. The digital images found by the second user computer are then made accessible to the first user computer.

    摘要翻译: 本文描述了用于发现和共享用户的数字图像的系统和方法,诸如用户的数字照片,其位于属于其他数字图像的集合中。 根据至少一个实施方式,使用第一用户计算机构建第一用户的面部模型,其中,基于存储在第一用户计算机上或可访问的第一用户的数字图像来构建面部模型。 然后使第一用户的面部模型可访问第二用户计算机,供第二用户计算机用于查找存储在第二用户计算机上或可访问的第一用户的数字图像。 然后,第二用户计算机发现的数字图像可被第一用户计算机访问。

    Forward feature selection for support vector machines
    5.
    发明申请
    Forward feature selection for support vector machines 有权
    支持向量机的前向特征选择

    公开(公告)号:US20090287621A1

    公开(公告)日:2009-11-19

    申请号:US12152568

    申请日:2008-05-15

    IPC分类号: G06F15/18

    CPC分类号: G06N99/005 G06K9/6231

    摘要: In one embodiment, the present invention includes a method for training a Support Vector Machine (SVM) on a subset of features (d′) of a feature set having (d) features of a plurality of training instances to obtain a weight per instance, approximating a quality for the d features of the feature set using the weight per instance, ranking the d features of the feature set based on the approximated quality, and selecting a subset (q) of the features of the feature set based on the ranked approximated quality. Other embodiments are described and claimed.

    摘要翻译: 在一个实施例中,本发明包括一种用于在特征集的特征集(d')的子集上训练支持向量机(SVM)的方法,该特征集具有(d)多个训练实例的特征以获得每个实例的权重, 使用每个实例的权重来近似特征集的d特征的质量,基于近似质量对特征集的d特征进行排序,并且基于排序的近似值来选择特征集的特征的子集(q) 质量。 描述和要求保护其他实施例。

    Soft bits normalization apparatus, method, and system
    6.
    发明授权
    Soft bits normalization apparatus, method, and system 有权
    软比特归一化装置,方法和系统

    公开(公告)号:US07349495B2

    公开(公告)日:2008-03-25

    申请号:US10670982

    申请日:2003-09-25

    申请人: Eyal Krupka

    发明人: Eyal Krupka

    IPC分类号: H03D1/00 H04L27/06

    CPC分类号: H04L25/067 H04L25/063

    摘要: A receiver estimates a channel parameter from a received signal. The channel parameter may a DC signal level, a carrier to interference ratio, a noise spectrum, or the like. The receiver performs channel equalization and produces estimated symbols. The estimated symbols are remodulated and the channel parameter is re-estimated. An initial estimation error is calculated as the difference between the two estimates. The estimated symbols are weighted using the initial estimation error, and channel decoding is performed. Estimated symbol weights may be reduced when the initial estimation error is above a threshold, and may be increased when the initial estimation error is below a threshold.

    摘要翻译: 接收机从接收信号估计信道参数。 信道参数可以是DC信号电平,载波干扰比,噪声谱等。 接收机执行信道均衡并产生估计符号。 估计的符号被重新调制并且重新估计信道参数。 初始估计误差被计算为两个估计之间的差。 使用初始估计误差对估计的符号进行加权,并执行信道解码。 当初始估计误差高于阈值时,可以减小估计的符号权重,并且当初始估计误差低于阈值时可以增加估计的符号权重。

    Method and apparatus to estimate channel tap
    7.
    发明申请
    Method and apparatus to estimate channel tap 失效
    估计通道水龙头的方法和装置

    公开(公告)号:US20060109934A1

    公开(公告)日:2006-05-25

    申请号:US10992791

    申请日:2004-11-22

    IPC分类号: H04L27/06

    摘要: Briefly, a method an apparatus and a wireless communication device are provided. The wireless communication device includes a receiver to receive complex sequences of symbols. The receiver includes an estimator to estimate one or more channel taps. The estimator includes a memory to store at least a portion of one or more calculated values of an estimation matrix and is capable to estimate the one or more channel taps based on a stored portion of calculated values of the estimation matrix.

    摘要翻译: 简而言之,提供了一种方法,装置和无线通信装置。 无线通信设备包括用于接收复杂符号序列的接收机。 接收机包括估计一个或多个信道抽头的估计器。 估计器包括存储器,用于存储估计矩阵的一个或多个计算值的至少一部分,并且能够基于估计矩阵的计算值的存储部分估计一个或多个信道抽头。

    Ranking clusters based on facial image analysis
    8.
    发明授权
    Ranking clusters based on facial image analysis 有权
    基于面部图像分析排列群体

    公开(公告)号:US09465993B2

    公开(公告)日:2016-10-11

    申请号:US12784498

    申请日:2010-05-21

    IPC分类号: G06K9/00 G06F17/30

    摘要: A user's collection of images may be analyzed to identify people's faces within the images, then create clusters of similar faces, where each of the clusters may represent a person. The clusters may be ranked in order of size to determine a relative importance of the associated person to the user. The ranking may be used in many social networking applications to filter and present content that may be of interest to the user. In one use scenario, the clusters may be used to identify images from a second user's image collection, where the identified images may be pertinent or interesting to the first user. The ranking may also be a function of user interactions with the images, as well as other input not related to the images. The ranking may be incrementally updated when new images are added to the user's collection.

    摘要翻译: 可以分析用户的图像集合以识别图像内的人脸,然后创建类似面孔的群集,其中每个群集可以代表一个人。 可以按照大小的顺序排列群集以确定相关联的人对用户的相对重要性。 该排名可以用于许多社交网络应用中以过滤和呈现用户可能感兴趣的内容。 在一个使用场景中,群集可以用于识别来自第二用户的图像集合的图像,其中识别的图像可能与第一用户相关或有趣。 排名也可能是用户与图像的交互作用以及与图像无关的其他输入的功能。 当将新图像添加到用户的集合中时,排名可以逐步更新。

    Method and apparatus for processing signals received from a channel having a variable channel length
    9.
    发明授权
    Method and apparatus for processing signals received from a channel having a variable channel length 有权
    用于处理从具有可变通道长度的通道接收的信号的方法和装置

    公开(公告)号:US08681899B2

    公开(公告)日:2014-03-25

    申请号:US11999251

    申请日:2007-12-04

    申请人: Eyal Krupka

    发明人: Eyal Krupka

    IPC分类号: H04L27/00

    摘要: A method comprises receiving a wireless signal at a channel estimator, and receiving the wireless signal at a channel length determination unit. Each of the channel estimator and the channel length determination unit independently receive the wireless signal.

    摘要翻译: 一种方法包括在信道估计器处接收无线信号,以及在信道长度确定单元处接收无线信号。 信道估计器和信道长度确定单元中的每一个独立地接收无线信号。

    Search query extension
    10.
    发明授权
    Search query extension 有权
    搜索查询扩展

    公开(公告)号:US08224839B2

    公开(公告)日:2012-07-17

    申请号:US12419325

    申请日:2009-04-07

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30672

    摘要: Methods, systems, and computer-readable media for search query extension are disclosed. A particular method retrieves a set of queries related to a search query from a query repository. The search query includes one or more search words and at least one search word is included in each query in the set of queries. A set of context words based on one or more computer-readable files accessible to a computer is generated and an intersection is calculated. The intersection is based on the set of queries and the set of context words. An extended search query is generated based on the calculated intersection and the search query.

    摘要翻译: 公开了用于搜索查询扩展的方法,系统和计算机可读介质。 特定方法从查询存储库检索与搜索查询相关的一组查询。 搜索查询包括一个或多个搜索词,并且在该组查询中的每个查询中包括至少一个搜索词。 产生一组基于计算机可访问的一个或多个计算机可读文件的上下文单词,并计算一个交点。 交集是基于一组查询和一组上下文单词。 基于计算出的交集和搜索查询生成扩展搜索查询。