Resource-light method and apparatus for outlier detection
    3.
    发明授权
    Resource-light method and apparatus for outlier detection 失效
    资源光法和异常检测装置

    公开(公告)号:US08006157B2

    公开(公告)日:2011-08-23

    申请号:US11863704

    申请日:2007-09-28

    IPC分类号: H04L1/00 G06F11/30 H03M13/00

    摘要: Outlier detection methods and apparatus have light computational resources requirement, especially on the storage requirement, and yet achieve a state-of-the-art predictive performance. The outlier detection problem is first reduced to that of a classification learning problem, and then selective sampling based on uncertainty of prediction is applied to further reduce the amount of data required for data analysis, resulting in enhanced predictive performance. The reduction to classification essentially consists in using the unlabeled normal data as positive examples, and randomly generated synthesized examples as negative examples. Application of selective sampling makes use of an underlying, arbitrary classification learning algorithm, the data labeled by the above procedure, and proceeds iteratively. Each iteration consisting of selection of a smaller sub-sample from the input data, training of the underlying classification algorithm with the selected data, and storing the classifier output by the classification algorithm. The selection is done by essentially choosing examples that are harder to classify with the classifiers obtained in the preceding iterations. The final output hypothesis is a voting function of the classifiers obtained in the iterations of the above procedure.

    摘要翻译: 异常值检测方法和装置具有较轻的计算资源需求,特别是对存储要求的要求,而且具有最先进的预测性能。 异常值检测问题首先降低到分类学习问题,然后应用基于预测不确定度的选择性抽样来进一步减少数据分析所需的数据量,从而提高预测性能。 归类分类主要在于使用未标记的正常数据作为正例,随机生成合成实例作为阴性实例。 选择性抽样的应用使用了基础的,任意的分类学习算法,由上述过程标记的数据,并且迭代地进行。 每个迭代包括从输入数据中选择较小的子样本,对所选数据训练底层分类算法,以及通过分类算法存储分类器输出。 选择是通过基本上选择难以对上述迭代中获得的分类器进行分类的示例来完成的。 最终输出假设是在上述过程的迭代中获得的分类器的投票函数。

    Light Scanning Device and Image Forming Apparatus
    6.
    发明申请
    Light Scanning Device and Image Forming Apparatus 有权
    光扫描装置及成像装置

    公开(公告)号:US20080266634A1

    公开(公告)日:2008-10-30

    申请号:US12109658

    申请日:2008-04-25

    IPC分类号: G02B26/10 G03G15/22

    摘要: A light scanning device is provided. The light scanning device includes: an oscillating mirror which oscillates rotationally and reflects a light beam to be scanned over a scanning range, the scanning range including a first scanning range and a second scanning range set across a center of the scanning range; a detection unit including a light receiving face, on which the light beam is incident, to detect the light beam; and first and second stationary mirrors which reflect the light beam reflected by the oscillating mirror to the first scanning range and the second scanning range, respectively, to be incident on the light receiving face, wherein an incident pattern of the light beam reflected by the first stationary mirror incident on the light receiving face is different from an incident pattern of the light beam reflected by the second stationary mirror incident on the light receiving face.

    摘要翻译: 提供光扫描装置。 光扫描装置包括:振动反射镜,其在扫描范围内旋转振荡并反射待扫描的光束,扫描范围包括跨越扫描范围的中心设置的第一扫描范围和第二扫描范围; 检测单元,其包括光束入射的光接收面以检测光束; 以及第一和第二固定镜,其将由所述振动反射镜反射的光束分别反射到所述第一扫描范围和所述第二扫描范围,以入射到所述光接收面上,其中所述光束的入射图案被所述第一 入射在光接收面上的固定镜与入射在受光面上的第二静止镜反射的光束的入射图案不同。

    System and method for marketing mix optimization for brand equity management
    10.
    发明授权
    System and method for marketing mix optimization for brand equity management 失效
    用于品牌资产管理的营销组合优化的系统和方法

    公开(公告)号:US08452639B2

    公开(公告)日:2013-05-28

    申请号:US12054745

    申请日:2008-03-25

    IPC分类号: G06Q10/00

    摘要: A method of marketing optimization with respect to brand lifetime management formulates a problem of brand equity maximization utilizing Markov Decision Process (MDP) thereby casting brand equity management as a long term regard optimization problem in MDP, The marketing mix is optimized by formulating the mix as actions in MDP and, utilizing historical marketing and transaction data, aspects of the MDP are estimated.

    摘要翻译: 关于品牌生命周期管理的营销优化方法利用马尔科夫决策过程(MDP)制定了品牌资产最大化的问题,从而将品牌资产管理作为MDP中的长期考虑优化问题,将营销组合优化为 MDP行动,利用历史营销和交易数据,估计MDP的各个方面。