中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

45 records (took 0.011 seconds)

    METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS
    1.
    发明申请
    METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS 审中-公开
    使用基于分类器集合的遗传算法进行特征选择的方法

    公开(公告)号：WO2008035276A3

    公开(公告)日：2008-11-20

    申请号：PCT/IB2007053750

    申请日：2007-09-17

    Applicant: KONINKL PHILIPS ELECTRONICS NV ,  ZHAO LUYIN ,  BOROCZKY LILLA ,  AGNIHOTRI LALITHA A ,  LEE MICHAEL C C

    Inventor： ZHAO LUYIN ,  BOROCZKY LILLA ,  AGNIHOTRI LALITHA A ,  LEE MICHAEL C C

    IPC: G06N3/12 ,  G06F19/00 ,  G06K9/00

    CPC classification number: G06N3/126 ,  G06K9/6217 ,  G06K2209/053 ,  G16H50/20 ,  G16H50/30

    Abstract: Methods for performing genetic algorithm-based feature selection are provided herein. In certain embodiments, the methods include steps of applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification result; integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy result; and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, in which genetic algorithm-based feature selection is performed.

    Abstract translation: 这里提供了用于执行基于遗传算法的特征选择的方法。 在某些实施例中，所述方法包括以下步骤：将多个数据分裂模式应用于学习数据集以构建多个分类器以获得至少一个分类结果; 整合来自多个分类器的至少一个分类结果以获得整合的准确性结果; 以及将整合的准确度结果输出到遗传算法作为候选特征子集的适合度值，其中执行基于遗传算法的特征选择。

    METHOD TO AUTOMATICALLY DECODE MICROARRAY IMAGES
    2.
    发明申请
    METHOD TO AUTOMATICALLY DECODE MICROARRAY IMAGES 审中-公开
    自动解码微距图像的方法

    公开(公告)号：WO2008065634A1

    公开(公告)日：2008-06-05

    申请号：PCT/IB2007/054901

    申请日：2007-12-03

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  AGNIHOTRI, Lalitha ,  SCHAFFER, James David ,  DIMITROVA, Nevenka

    Inventor： AGNIHOTRI, Lalitha ,  SCHAFFER, James David ,  DIMITROVA, Nevenka

    IPC: G06K9/00 ,  G06K9/32 ,  G06T7/00

    CPC classification number: G06K9/00134 ,  G06K9/3233 ,  G06K9/3275 ,  G06T7/70 ,  G06T2207/20056 ,  G06T2207/30072

    Abstract: A method of automatically identifying the microarray chip corners and probes, even if there are no probes at the corners, in a high density and high resolution microarray 5 scanned image having an image space, wherein the method minimizes the error distortions in the image arising in the scanning process by applying to the image a multipass corner finding algorithm comprising: (a) applying a Radon transform to an input microarray image to project the image into an angle and distance space where it is possible to find the orientation of the straight lines; (b) applying a fast Fourier transform to the projected image 10 of (a) to find the optimal tilting angle of the projected image; (c) determining the optimal first and last local maxima for the optimal tilting angle; (d) back projecting the determined first and last local maxima to the image space to find the first approximation of the first and last column lines of the image; (e) rotating the image and repeating steps (a) through (d) to find the first approximation of the top and bottom row lines of the image; (f) determining 15 the first approximation of the four corners of the image from the intersection of the column and row lines; (g) applying a heuristic for determining if the first approximation of step (f) is sufficient; and (h) optionally trimming the scanned image around the first approximation of the four corners and repeating steps (a) through (f).

    Abstract translation: 即使在具有图像空间的高密度和高分辨率的微阵列5扫描图像中，即使在角落处没有探针也能够自动识别微阵列芯片角部和探针的方法，其中该方法使图像中产生的图像中的误差失真最小化 所述扫描过程通过向所述图像应用多点角发现算法，包括：（a）将Radon变换应用于输入微阵列图像以将所述图像投影到可以找到所述直线的取向的角度和距离空间中; （b）对（a）的投影图像10应用快速傅立叶变换以找到投影图像的最佳倾斜角; （c）确定最佳倾斜角的最佳第一和最后局部最大值; （d）将确定的第一和最后局部最大值向前投影到图像空间，以找到图像的第一列和最后一列的第一近似; （e）旋转图像并重复步骤（a）至（d）以找到图像的顶行和下行行的第一近似值; （f）从列和行之间的交点确定图像的四个角的第一近似值; （g）应用启发式来确定步骤（f）的第一近似是否足够; 和（h）可选地修整围绕四个角的第一近似的扫描图像并重复步骤（a）至（f）。

    METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS
    4.
    发明申请
    METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS 审中-公开
    使用基于分类器ENSEMBLE的遗传算法进行特征选择的方法

    公开(公告)号：WO2008035276A2

    公开(公告)日：2008-03-27

    申请号：PCT/IB2007/053750

    申请日：2007-09-17

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  ZHAO, Luyin ,  BOROCZKY, Lilla ,  AGNIHOTRI, Lalitha A. ,  LEE, Michael C.C.

    Inventor： ZHAO, Luyin ,  BOROCZKY, Lilla ,  AGNIHOTRI, Lalitha A. ,  LEE, Michael C.C.

    IPC: G06N3/12

    CPC classification number: G06N3/126 ,  G06F19/00 ,  G06K9/6217 ,  G06K2209/053 ,  G16H50/20 ,  G16H50/30

    Abstract: Methods for performing genetic algorithm-based feature selection are provided herein. In certain embodiments, the methods include steps of applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification result; integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy result; and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, in which genetic algorithm-based feature selection is performed.

    Abstract translation: 本文提供了基于遗传算法的特征选择的方法。 在某些实施例中，所述方法包括将多个数据分割模式应用于学习数据集以构建多个分类器以获得至少一个分类结果的步骤; 整合来自多个分类器的至少一个分类结果以获得综合精度结果; 并将所述综合精度结果输出到遗传算法作为候选特征子集的适应度值，其中执行基于遗传算法的特征选择。

    METHOD OF VIDEO INDEXING
    5.
    发明申请
    METHOD OF VIDEO INDEXING 审中-公开

    公开(公告)号：WO2006092765A3

    公开(公告)日：2006-09-08

    申请号：PCT/IB2006/050634

    申请日：2006-03-01

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  BARBIERI, Mauro ,  DIMITROVA, Nevenka ,  AGNIHOTRI, Lalitha

    Inventor： BARBIERI, Mauro ,  DIMITROVA, Nevenka ,  AGNIHOTRI, Lalitha

    IPC: G11B27/28 ,  G11B27/32 ,  G06F17/30

    Abstract: There is provided an apparatus (100) for indexing video data objects (110), said apparatus (100) comprising an input (110) for receiving the video data objects, and a processor (150, 160, 170, 180) for analyzing the video data objects (110) to identify therefrom occurrences of different categories of shots or segments (10, 20, 30) therein, each shot or segment (10, 20, 30) comprising a sequence of one or more images, each shot or segment (10, 20, 30) being identified in response to image feature content of its one or more images, said processor (150, 160, 170, 180) being operable to process the video data objects (110) based on at least the occurrences of the different categories of shots or segments (10, 20, 30) to provide video index classifications of the video data objects (110).

    AUTOMATIC GENERATION OF TRAILERS CONTAINING PRODUCT PLACEMENTS
    6.
    发明申请
    AUTOMATIC GENERATION OF TRAILERS CONTAINING PRODUCT PLACEMENTS 审中-公开
    自动生成包含产品放置的拖车

    公开(公告)号：WO2006077536A2

    公开(公告)日：2006-07-27

    申请号：PCT/IB2006050172

    申请日：2006-01-17

    Applicant: KONINKL PHILIPS ELECTRONICS NV ,  AGNIHOTRI LALITHA ,  BARBIERI MAURO ,  DIMITROVA NEVENKA

    Inventor： AGNIHOTRI LALITHA ,  BARBIERI MAURO ,  DIMITROVA NEVENKA

    IPC: G06Q30/02 ,  H04N7/24

    CPC classification number: G11B27/034 ,  G06Q30/0201 ,  G06Q30/0204 ,  G06Q30/0282 ,  G11B27/322 ,  H04N21/4532 ,  H04N21/45457 ,  H04N21/84 ,  H04N21/8455 ,  H04N21/8549

    Abstract: This invention relates to a method and computer system for automatic generation of trailers. More specifically it relates to a method for generating revenues from providers of content data. The method generally comprises the steps of finding product placement data in a super set of data. When these product placements have been found they are preferably matched with a user profile and segments, of the superset comprising these product placements with a positive match, are selected and merged into a subset of data. A counter may keep track of which product placement that has been chosen and how many times a product placement has been chosen and viewed. Based on the value of the counter an invoice is created.

    Abstract translation: 本发明涉及一种用于自动生成拖车的方法和计算机系统。 更具体地说，它涉及一种用于从内容数据提供者产生收入的方法。 该方法通常包括以下步骤：在超数据集中查找商品放置数据。 当发现这些产品展示位置时，它们优选地与用户简档匹配，并且选择包括具有正匹配的这些产品展示位置的超集的段，并将其合并到数据的子集中。 计数器可以跟踪已经选择了哪个产品布局，以及多少次选择和查看了产品展示位置。 根据计数器的值，创建发票。

    METHOD AND DEVICE FOR CASE-BASED DECISION SUPPORT
    8.
    发明申请
    METHOD AND DEVICE FOR CASE-BASED DECISION SUPPORT 审中-公开
    基于案例决策支持的方法和设备

    公开(公告)号：WO2009083844A1

    公开(公告)日：2009-07-09

    申请号：PCT/IB2008/055218

    申请日：2008-12-11

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  AGNIHOTRI, Lalitha ,  BOROCZKY, Lilla ,  ZHAO, Luyin ,  LEE, Michael Chun-chieh

    Inventor： AGNIHOTRI, Lalitha ,  BOROCZKY, Lilla ,  ZHAO, Luyin ,  LEE, Michael Chun-chieh

    IPC: G06F19/00

    CPC classification number: G06F19/345 ,  G06F19/00 ,  G16H50/20

    Abstract: This invention relates to a method and device for case-based decision support. It proposes that a case-based decision support system is trained on inputs from several radiologists in order to have a "baseline" system, and then the system provides an option to a radiologist to refine the baseline system based on his/her inputs which either refine weights of features for similarity distance computation directly or provide new similarity ground truth clusters. By enabling modifying the similarity distance computation based on user inputs, this invention adapts similarity ground truth to different users with different experience and/or different opinions.

    Abstract translation: 本发明涉及用于基于病例的决策支持的方法和装置。 它建议对基于病例的决策支持系统进行培训，对多名放射科医师的投入进行培训，以便建立一个“基线”系统，然后该系统为放射科医师提供一个选择，以便根据他/她的输入来完善基线系统， 优化直接相似度距离计算的特征权重或提供新的相似性地面真值聚类。 通过使用基于用户输入的相似距离计算能够进行修改，本发明通过不同的经验和/或不同的观点，将不同用户的相似性原理进行了调整。

    METHOD AND APPARATUS FOR REFINING SIMILAR CASE SEARCH
    9.
    发明申请
    METHOD AND APPARATUS FOR REFINING SIMILAR CASE SEARCH 审中-公开
    改进类似案例搜索的方法和装置

    公开(公告)号：WO2009083841A1

    公开(公告)日：2009-07-09

    申请号：PCT/IB2008/055204

    申请日：2008-12-10

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS, N.V. ,  BOROCZKY, Lilla ,  AGNIHOTRI, Lalitha ,  ZHAO, Luyin ,  LEE, Michael

    Inventor： BOROCZKY, Lilla ,  AGNIHOTRI, Lalitha ,  ZHAO, Luyin ,  LEE, Michael

    IPC: G06F19/00

    CPC classification number: G16H50/70 ,  G06F19/00

    Abstract: The invention relates to search for cases in a database. According to the proposed method and apparatus, similarity matching is performed between an input case and a set of cases in an initial search to receive similar cases by- using a given matching criterion. Then statistics on image and non- image-based features associated with the similar cases are calculated and presented to the user with the similar cases. In a search refinement the similar cases are refined by additional features that are determined by the user based on the statistics. The search refinement can be iterative depending on the user's need.

    Abstract translation: 本发明涉及在数据库中搜索案例。 根据所提出的方法和装置，在初始搜索的输入情况和一组情况之间执行相似性匹配，以通过使用给定的匹配准则来接收类似的情况。 然后，与类似情况相关联的图像和基于非图像的特征的统计量被计算并呈现给具有类似情况的用户。 在搜索细化中，类似的情况通过基于统计信息由用户确定的附加特征进行细化。 搜索细化可以根据用户的需要进行迭代。

Patent Agency Ranking