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    SPECTRAL SIGNATURE EXTRACTION FOR DRUG VERIFICATION AND IDENTIFICATION
    1.
    发明申请
    SPECTRAL SIGNATURE EXTRACTION FOR DRUG VERIFICATION AND IDENTIFICATION 失效
    用于药物验证和鉴定的光谱签名提取

    公开(公告)号：US20100045978A1

    公开(公告)日：2010-02-25

    申请号：US12545368

    申请日：2009-08-21

    Applicant: Prasant Potuluri ,  Yuting Qi ,  Ya Xue

    Inventor： Prasant Potuluri ,  Yuting Qi ,  Ya Xue

    IPC: G01J3/28 ,  G01J3/44

    CPC classification number: G06Q50/22 ,  G06F19/00 ,  G06F19/3456

    Abstract: Systems and methods perform signature extraction from an acquired spectrum of a pharmaceutical. An acquired spectrum of the pharmaceutical is measured using a spectrometer. The acquired spectrum is obtained from the spectrometer using a processor. A system-response function of the spectrometer is removed from the acquired spectrum using the processor. An intensity of the acquired spectrum is normalized to a predetermined scale using the processor. Fluorescence is removed from the acquired spectrum using the processor. Finally, an extracted signature of the pharmaceutical is obtained from the remainder of the acquired spectrum using the processor. If the acquired spectrum of the pharmaceutical is measured by the spectrometer through a container holding the pharmaceutical, a spectrum of the container is removed from the remainder of the acquired spectrum to produce the extracted signature of the pharmaceutical using the processor.

    Abstract translation: 系统和方法从药物的获得谱执行签名提取。 使用光谱仪测量药物的获得谱。 所获得的光谱使用处理器从光谱仪获得。 使用处理器从采集的光谱中去除光谱仪的系统响应功能。 使用处理器将获取的光谱的强度归一化为预定的刻度。 使用处理器从所获取的光谱中除去荧光。 最后，使用处理器从所获取的频谱的其余部分获得药物的提取的签名。 如果通过光谱仪通过容纳药物的容器测量所获得的药物谱，则从获得的光谱的其余部分中除去容器的光谱，以使用处理器产生提取的药物的特征。

    Spectral signature extraction for drug verification and identification
    2.
    发明授权
    Spectral signature extraction for drug verification and identification 失效
    光谱签名提取用于药物验证和鉴定

    公开(公告)号：US08417540B2

    公开(公告)日：2013-04-09

    申请号：US12545368

    申请日：2009-08-21

    Applicant: Prasant Potuluri ,  Ya Xue ,  Yuting Qi

    Inventor： Prasant Potuluri ,  Ya Xue ,  Yuting Qi

    IPC: G06Q10/00 ,  G01J3/42

    CPC classification number: G06Q50/22 ,  G06F19/00 ,  G06F19/3456

    Abstract: Systems and methods perform signature extraction from an acquired spectrum of a pharmaceutical. An acquired spectrum of the pharmaceutical is measured using a spectrometer. The acquired spectrum is obtained from the spectrometer using a processor. A system-response function of the spectrometer is removed from the acquired spectrum using the processor. An intensity of the acquired spectrum is normalized to a predetermined scale using the processor. Fluorescence is removed from the acquired spectrum using the processor. Finally, an extracted signature of the pharmaceutical is obtained from the remainder of the acquired spectrum using the processor. If the acquired spectrum of the pharmaceutical is measured by the spectrometer through a container holding the pharmaceutical, a spectrum of the container is removed from the remainder of the acquired spectrum to produce the extracted signature of the pharmaceutical using the processor.

    Abstract translation: 系统和方法从药物的获得谱执行签名提取。 使用光谱仪测量药物的获得谱。 所获得的光谱使用处理器从光谱仪获得。 使用处理器从采集的光谱中去除光谱仪的系统响应功能。 使用处理器将获取的光谱的强度归一化为预定的刻度。 使用处理器从所获取的光谱中除去荧光。 最后，使用处理器从所获取的频谱的其余部分获得药物的提取的签名。 如果通过光谱仪通过容纳药物的容器测量所获得的药物谱，则从获得的光谱的其余部分中除去容器的光谱，以使用处理器产生提取的药物的特征。

    IMAGE CONCEALING VIA EFFICIENT FEATURE SELECTION
    3.
    发明申请
    IMAGE CONCEALING VIA EFFICIENT FEATURE SELECTION 有权
    通过有效的特征选择进行图像感知

    公开(公告)号：US20130177244A1

    公开(公告)日：2013-07-11

    申请号：US13346479

    申请日：2012-01-09

    Applicant: Xiaoming Liu ,  Peter Henry Tu ,  Ya Xue

    Inventor： Xiaoming Liu ,  Peter Henry Tu ,  Ya Xue

    IPC: G06K9/46 ,  G06K9/34

    CPC classification number: G06K9/6206 ,  G06K9/00281 ,  G06K9/6224 ,  G06K9/623 ,  G06K9/6263

    Abstract: A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.

    Abstract translation: 公开了一种用于无监督特征选择的新技术。 所公开的方法包括自动选择图像的特征的子集。 另外，可以使用诸如基于最小二乘法的凝结算法的凝结算法来结合特征子集的选择。 通过选择图像的特征表示的子集，可以减少或去除冗余和/或不相关的特征，并且可以提高基于最小二乘法的凝结的效率和精度。

    Image concealing via efficient feature selection
    4.
    发明授权
    Image concealing via efficient feature selection 有权
    图像隐藏通过高效的特征选择

    公开(公告)号：US08774513B2

    公开(公告)日：2014-07-08

    申请号：US13346479

    申请日：2012-01-09

    Applicant: Xiaoming Liu ,  Peter Henry Tu ,  Ya Xue

    Inventor： Xiaoming Liu ,  Peter Henry Tu ,  Ya Xue

    IPC: G06K9/34 ,  H04N9/07

    CPC classification number: G06K9/6206 ,  G06K9/00281 ,  G06K9/6224 ,  G06K9/623 ,  G06K9/6263

    Abstract: A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.

    Abstract translation: 公开了一种用于无监督特征选择的新技术。 所公开的方法包括自动选择图像的特征的子集。 另外，可以使用诸如基于最小二乘法的凝结算法的凝结算法来结合特征子集的选择。 通过选择图像的特征表示的子集，可以减少或去除冗余和/或不相关的特征，并且可以提高基于最小二乘法的凝结的效率和精度。

    METHODS AND SYSTEMS FOR ONLINE RECOMMENDATION
    7.
    发明申请
    METHODS AND SYSTEMS FOR ONLINE RECOMMENDATION 有权
    在线推荐的方法和系统

    公开(公告)号：US20110131595A1

    公开(公告)日：2011-06-02

    申请号：US12629345

    申请日：2009-12-02

    Applicant: Ya Xue ,  Abha Moitra ,  Steven Matt Gustafson

    Inventor： Ya Xue ,  Abha Moitra ,  Steven Matt Gustafson

    IPC: H04H60/33 ,  G06F17/30

    CPC classification number: H04N21/258 ,  G06F17/30044 ,  G06F17/30053 ,  G06F17/30702 ,  G06F17/30781 ,  G06F17/30867 ,  H04N21/4668 ,  H04N21/4826 ,  H04N21/84

    Abstract: A method for recommending videos is presented. The method includes generating a cross-usage matrix based upon a data of video sessions for a plurality of videos, generating a temporal matrix based upon release dates of the plurality of videos, generating a cross-temporal matrix based upon the cross-usage matrix and the temporal matrix, computing a global video rank corresponding to each of the plurality of videos based upon the cross-temporal matrix, generating a similarity score corresponding to each pair of videos in the plurality of videos based upon meta-data of the plurality of videos, and generating a local video rank corresponding to each of the plurality of videos relative to another video in the plurality of videos based upon the generated cross-usage matrix, the computed global video rank and the generated similarity score.

    Abstract translation: 介绍一种推荐视频的方法。 该方法包括基于多个视频的视频会话的数据生成交叉使用矩阵，基于多个视频的发布日期生成时间矩阵，基于交叉使用矩阵生成跨时间矩阵;以及 所述时间矩阵基于所述跨时间矩阵计算与所述多个视频中的每一个对应的全局视频秩，基于所述多个视频的元数据生成与所述多个视频中的每对视频相对应的相似度得分 并且基于所生成的交叉使用矩阵，所计算的全局视频秩和所生成的相似性得分，生成与多个视频中的每一个相对于多个视频中的每一个相对应的本地视频秩。

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