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15 条记录 (耗时 0.024 秒)

    Automating Creation of Digital Test Materials
    2.
    发明申请
    Automating Creation of Digital Test Materials 审中-公开
    自动创建数字测试材料

    公开(公告)号：US20080235263A1

    公开(公告)日：2008-09-25

    申请号：US12040896

    申请日：2008-03-02

    申请人： Ulmar Riaz ,  Peter G. Anderson

    发明人： Ulmar Riaz ,  Peter G. Anderson

    IPC分类号： G06F17/30

    CPC分类号： G06F17/243

    摘要： A system and method for automatically creating a digital test materials to qualify and test forms processing systems, including preparing a handprint snippet database containing labeled handprint image snippets representing a unique human hand, preparing a form description file and a data content file, selecting handprint snippets from the handprint snippet data base to formulate a form using the data content file, creating a form image using the selected snippets according to the form description file, and, if desired, printing the form image.

    摘要翻译： 一种用于自动创建数字测试材料以限制和测试表单处理系统的系统和方法，包括准备一个手印片段数据库，其中包含表示独特人手的标记的手印图像片段，准备表单描述文件和数据内容文件，选择手印片段 从手印片段数据库中，使用数据内容文件制定表单，根据表单描述文件使用所选片段创建表单图像，如果需要，打印表单图像。

    Therapeutic inhibitor of vascular smooth muscle cells
    6.
    发明授权
    Therapeutic inhibitor of vascular smooth muscle cells 失效
    血管平滑肌细胞治疗抑制剂

    公开(公告)号：US08067022B2

    公开(公告)日：2011-11-29

    申请号：US09910388

    申请日：2001-07-20

    申请人： Lawrence L. Kunz ,  Peter G. Anderson

    发明人： Lawrence L. Kunz ,  Peter G. Anderson

    IPC分类号： A61F2/00 ,  A61K31/00

    CPC分类号： A61K9/0024 ,  A61K31/00 ,  A61K31/135 ,  A61K31/138 ,  A61K31/337 ,  A61K31/40 ,  A61K31/4025 ,  A61K31/4035 ,  A61K31/407 ,  A61K47/6803 ,  A61K47/6809 ,  A61K47/6817 ,  A61K47/6831 ,  A61K47/6843 ,  A61K47/6927 ,  A61K47/6931 ,  G01N2800/323

    摘要： Methods are provided for inhibiting stenosis following vascular trauma or disease in a mammalian host, comprising administering to the host a therapeutically effective dosage of a therapeutic conjugate containing a vascular smooth muscle binding protein that associates in a specific manner with a cell surface of the vascular smooth muscle cell, coupled to a therapeutic agent dosage form that inhibits a cellular activity of the muscle cell. Methods are also provided for the direct and/or targeted delivery of therapeutic agents to vascular smooth muscle cells that cause a dilation and fixation of the vascular lumen by inhibiting smooth muscle cell contraction, thereby constituting a biological stent. Also discussed are mechanisms for in vivo vascular smooth muscle cell proliferation modulation, agents that impact those mechanisms and protocols for the use of those agents.

    摘要翻译： 提供了用于在哺乳动物宿主中的血管创伤或疾病之后抑制狭窄的方法，包括向宿主施用治疗有效剂量的含有血管平滑肌结合蛋白的治疗性缀合物，其以特定方式与血管平滑的细胞表面相关联 肌肉细胞，与抑制肌肉细胞的细胞活性的治疗剂剂型偶联。 还提供了用于通过抑制平滑肌细胞收缩导致血管腔的扩张和固定的血管平滑肌细胞的治疗剂的直接和/或靶向递送的方法，从而构成生物支架。 还讨论了体内血管平滑肌细胞增殖调节的机制，影响这些药物使用的机制和方案的试剂。

    Methods, devices and systems for compressing images
    7.
    发明授权
    Methods, devices and systems for compressing images 有权
    用于压缩图像的方法，设备和系统

    公开(公告)号：US07245778B2

    公开(公告)日：2007-07-17

    申请号：US10292163

    申请日：2002-11-12

    申请人： Peter G. Anderson ,  Charles Bouman ,  Changmeng Liu

    发明人： Peter G. Anderson ,  Charles Bouman ,  Changmeng Liu

    IPC分类号： G06K9/36 ,  G06K15/00

    CPC分类号： H04N1/4105 ,  G06T9/005

    摘要： Methods, devices and systems for compressing images are provided. One method includes creating halftone mask structures and applying compression coding techniques to arrayed pixels sorted using the halftone mask structures in order to convert an image to a compressed bi-level, halftoned image.

    摘要翻译： 提供了用于压缩图像的方法，装置和系统。 一种方法包括创建半色调掩模结构并将压缩编码技术应用于使用半色调掩模结构分类的排列像素，以将图像转换为压缩的双级半色调图像。

    Supervised training augmented polynomial method and apparatus for character recognition
    8.
    发明授权
    Supervised training augmented polynomial method and apparatus for character recognition 失效
    用于字符识别的监督训练增强多项式方法和装置

    公开(公告)号：US5555317A

    公开(公告)日：1996-09-10

    申请号：US931741

    申请日：1992-08-18

    申请人： Peter G. Anderson

    发明人： Peter G. Anderson

    IPC分类号： G06K9/66 ,  G06K9/62 ,  G06K9/48

    CPC分类号： G06K9/6256 ,  G06K9/6262 ,  G06K2209/01

    摘要： A system that classifies or identifies hand printed or machine printed alphanumeric characters using an iterated least squares polynomial discriminant method is disclosed. Super-sampling of labeled training characters is performed prior to feature extraction. Feature extraction subsamples individual character images. The feature vectors and associated labelings are used to create a weight matrix. During iteration, the weight matrix, to be subsequently used for identification, is modified by determining which characters are incorrectly classified, or classified with too small a confidence, and replicating those characters during training to strengthen the correct classification. The correct classification is also strengthened by using negative feedback to inhibit incorrect classification by using negative values in the target vectors. The speed of the learning process is enhanced by maintaining intermediate matrices and step wise increasing the amount of each feature vector and the size of the sample set used during training. The memory efficiency utilization is enhanced by maintaining and modifying intermediate matrices and compressing the sparse binary features vectors.

    摘要翻译： 公开了一种使用迭代最小二乘多项式判别方法分类或识别手印或机印的字母数字字符的系统。 在特征提取之前执行标记训练字符的超采样。 特征提取子样本单个字符图像。 特征向量和相关标签用于创建权重矩阵。 在迭代中，随后用于识别的权重矩阵通过确定哪些字符被错误地分类或被分类为太小的置信度来修改，并且在训练期间复制这些字符以加强正确的分类。 通过使用负反馈来通过在目标矢量中使用负值来抑制不正确的分类，也加强了正确的分类。 通过维护中间矩阵并逐步增加每个特征向量的量和训练期间使用的样​​本集的大小，来增强学习过程的速度。 通过维护和修改中间矩阵并压缩稀疏二进制特征向量来提高存储器效率利用率。

    Methods, devices, and systems for creating and compressing multi-level halftones
    9.
    发明授权
    Methods, devices, and systems for creating and compressing multi-level halftones 有权
    用于创建和压缩多级半色调的方法，设备和系统

    公开(公告)号：US07444027B2

    公开(公告)日：2008-10-28

    申请号：US10303180

    申请日：2002-11-25

    申请人： Peter G. Anderson

    发明人： Peter G. Anderson

    IPC分类号： G06K9/36

    CPC分类号： H04N1/4105 ,  G06T9/005

    摘要： Methods, devices and systems for compressing images are provided. One method includes creating halftone mask structures and applying compression coding techniques to arrayed pixels sorted using the halftone mask structures in order to convert an image to a compressed multi-level, halftoned image.

    摘要翻译： 提供了用于压缩图像的方法，装置和系统。 一种方法包括创建半色调掩模结构并将压缩编码技术应用于使用半色调掩模结构分类的排列像素，以便将图像转换成压缩的多级半色调图像。

    Constructing classification weights matrices for pattern recognition systems using reduced element feature subsets
    10.
    发明授权
    Constructing classification weights matrices for pattern recognition systems using reduced element feature subsets 失效
    使用减少的元素特征子集构建模式识别系统的分类权重矩阵

    公开(公告)号：US5479523A

    公开(公告)日：1995-12-26

    申请号：US214935

    申请日：1994-03-16

    申请人： Roger S. Gaborski ,  Peter G. Anderson ,  David G. Tilley ,  Christopher T. Asbury

    发明人： Roger S. Gaborski ,  Peter G. Anderson ,  David G. Tilley ,  Christopher T. Asbury

    IPC分类号： G06K9/68 ,  G06K9/62

    CPC分类号： G06K9/6228

    摘要： Methods and apparatus for constructing a classification weights matrix for a pattern recognition system are provided which enable large system feature sets to be reduced and yield at least the same level of performance achieved using the large feature set. Methods and apparatus are also described for determining (evaluating) the classification efficiency of selected subsets of a given feature set. Further aspects of the invention are directed to: (a) methods and apparatus for constructing reduced element classification weights matrices utilizing a genetic search process to find the subset having a maximum classification efficiency; and (b) pattern recognition systems (including, in particular, character identification systems), which utilize classifiers constructed in accordance with the aforementioned aspects of the invention to actually perform pattern recognition.

    摘要翻译： 提供了用于构建用于模式识别系统的分类权重矩阵的方法和装置，其使得能够减小大的系统特征集，并且使用大特征集达到至少相同的性能水平。 还描述了用于确定（评估）给定特征集的所选子集的分类效率的方法和装置。 本发明的其它方面涉及：（a）利用遗传搜索过程构建减少元素分类权重矩阵以找到具有最大分类效率的子集的方法和装置; 和（b）模式识别系统（包括特别是字符识别系统），其利用根据本发明上述方面构造的分类器来实际执行模式识别。