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    • 2. 发明申请
    • CLASSIFICATION VIA SEMI-RIEMANNIAN SPACES
    • 通过SEMI-RIEMANNIAN SPACES分类
    • US20100080450A1
    • 2010-04-01
    • US12242421
    • 2008-09-30
    • Deli ZhaoZhouchen LinXiaoou Tang
    • Deli ZhaoZhouchen LinXiaoou Tang
    • G06K9/62
    • G06K9/6234G06K9/6252
    • Described is using semi-Riemannian geometry in supervised learning to learn a discriminant subspace for classification, e.g., labeled samples are used to learn the geometry of a semi-Riemannian submanifold. For a given sample, the K nearest classes of that sample are determined, along with the nearest samples that are in other classes, and the nearest samples in that sample's same class. The distances between these samples are computed, and used in computing a metric matrix. The metric matrix is used to compute a projection matrix that corresponds to the discriminant subspace. In online classification, as a new sample is received, it is projected into a feature space by use of the projection matrix and classified accordingly.
    • 描述了在监督学习中使用半黎曼几何学习学习用于分类的判别子空间,例如,标记的样本用于学习半黎曼子流形歧管的几何形状。 对于给定的样本,该样本的K个最近类别以及其他类别中最近的样本以及该样本同一类中最近的样本进行确定。 计算这些样本之间的距离,并用于计算度量矩阵。 度量矩阵用于计算与判别子空间对应的投影矩阵。 在线分类中,作为收到的新样本,通过使用投影矩阵将其投影到特征空间中并进行分类。
    • 3. 发明授权
    • Handwriting recognition training and synthesis
    • 手写识别训练与综合
    • US07657094B2
    • 2010-02-02
    • US11321493
    • 2005-12-29
    • Zhouchen LinLiang WanChun-Hui HuJian Wang
    • Zhouchen LinLiang WanChun-Hui HuJian Wang
    • G06K9/00
    • G06K9/42G06K9/00416G06K2209/01
    • Methods and systems for converting text into natural personal handwriting are provided. One aspect relates to the training of a computer to recognize a user's handwriting style. In one embodiment, the computer receives handwriting samples of at least one character written by the user, such as the character being provided as the beginning, middle, or ending character among a plurality of other characters. Further embodiments allow for increased personalization of the handwriting. Another aspect relates to system and methods for displaying a representation of a computer user's handwriting. In one embodiment, the handwriting comprises variant shapes of letters, personalized connection style between letters, and connection parts that look pressure-sensitive. In another embodiment, characters are adjusted, such as cutting portions of the character to create a more realistic recreation and synthesis of the handwriting.
    • 提供了将文本转换为自然人手写的方法和系统。 一方面涉及计算机的训练以识别用户的手写风格。 在一个实施例中,计算机接收由用户写入的至少一个字符的笔迹样本,诸如被提供为多个其他字符中的开始,中间或结束字符的字符。 进一步的实施例允许增加笔迹的个性化。 另一方面涉及用于显示计算机用户手写表示的系统和方法。 在一个实施例中,笔迹包括字母的变形形状,字母之间的个性化连接样式以及看起来对压力敏感的连接部分。 在另一个实施例中,字符被调整,例如切割角色的部分以创建更实际的娱乐和手写的合成。
    • 5. 发明授权
    • Ink-parser-parameter optimization
    • 墨水解析器参数优化
    • US07593572B2
    • 2009-09-22
    • US11315635
    • 2006-02-09
    • Zhouchen LinYantao LiYu ZouXianfang WangJian Wang
    • Zhouchen LinYantao LiYu ZouXianfang WangJian Wang
    • G06K9/00
    • G06K9/00402G06K9/6277
    • Ink-parser-parameter optimization may be performed via parallel processing to accelerate searching for a set of optimal ink-parser parameters. Evaluators may parse pages of ink notes with different groups of parameters and may compute corresponding values for evaluation functions. Separate evaluation functions may be defined for the following types of ink-parker parsing engines: writing parser, writing/drawing classification, table detection, and list detection. A searcher may perform a grid-searching algorithm or a genetic algorithm to generate groups of parameters and may then pass the parameters to available evaluators for evaluation until evaluation-function values for a group of parameters satisfy a convergence condition.
    • 墨水分析器参数优化可以通过并行处理来执行,以加速搜索一组最佳墨水解析器参数。 评估者可以用不同的参数组解析墨迹的页面,并可以计算评估函数的相应值。 可以为以下类型的墨水 - 停顿解析引擎定义单独的评估功能:写入解析器,写入/绘图分类,表格检测和列表检测。 搜索者可以执行网格搜索算法或遗传算法来生成参数组,然后可以将参数传递给可用的评估者进行评估,直到一组参数的评估函数值满足收敛条件为止。
    • 6. 发明授权
    • Local metadata embedding and decoding
    • 本地元数据嵌入和解码
    • US07542976B2
    • 2009-06-02
    • US11112637
    • 2005-04-22
    • Jian WangZhouchen LinYue LiChunhui ZhangYingnong DangJiang WuQiang Wang
    • Jian WangZhouchen LinYue LiChunhui ZhangYingnong DangJiang WuQiang Wang
    • G06F7/00G06F17/00
    • G06F3/03545
    • In accordance with embodiments of the invention, local metadata is embedded into an embedded interactive code document by combining a first m-array and a second m-array to generate a combined m-array with encoded local metadata such that a start position of the second m-array in the combined m-array is shifted, by an amount that is based on the local metadata, relative to a start position of the first m-array in the combined m-array. The first m-array and the second m-array may contain the same repeating bit sequence. Local metadata may be decoded from the embedded interactive code document by decoding the local metadata from the combined m-array by determining the amount by which the second m-array is shifted, relative to the first m-array, in the combined m-array.
    • 根据本发明的实施例,通过组合第一m阵列和第二m阵列来将本地元数据嵌入到嵌入式交互式代码文档中,以生成具有编码的本地元数据的组合m阵列,使得第二m阵列的开始位置 组合的m阵列中的m阵列相对于组合的m阵列中的第一m阵列的开始位置偏移基于本地元数据的量。 第一m阵列和第二m阵列可以包含相同的重复比特序列。 本地元数据可以通过从组合的m阵列中解码本地元数据而从嵌入式交互式代码文档中解码,通过确定第二m阵列相对于第一m阵列在组合的m阵列中被移位的量 。
    • 7. 发明授权
    • Digital pen calibration by local linearization
    • 数字笔校准通过局部线性化
    • US07536051B2
    • 2009-05-19
    • US11060120
    • 2005-02-17
    • Zhouchen LinLiyong ChenJian Wang
    • Zhouchen LinLiyong ChenJian Wang
    • G06K9/00
    • G06K9/222
    • X-y positions of a digital pen's tip may be determined by using a calibration parameter to map the x-y positions of the respective centers of images captured by the pen's camera. The calibration parameter may be generated by iteratively calculating estimates of the calibration parameter. The iteratively calculated estimates may be based on a gradient of an error function of the iteratively generated estimates. Calibration input data may be produced by a user placing the pen tip in a fixed location on a surface, which may be a positionally encoded medium, such as paper, and then rotating the pen and/or moving the opposite end of the pen in various directions to capture multiple images for use in generating the calibration parameter. A user may perform such a calibration procedure without the need for complicated calibration equipment typically used in connection with conventional calibration techniques.
    • 数字笔尖的X-Y位置可以通过使用校准参数来确定由笔的相机拍摄的各个中心的x-y位置来确定。 可以通过迭代地计算校准参数的估计来生成校准参数。 迭代计算的估计可以基于迭代产生的估计的误差函数的梯度。 校准输入数据可以由用户将笔尖放置在表面上的固定位置(其可以是位置编码的介质,例如纸)然后旋转笔和/或使笔的相对端移动到各种 捕获多个图像以用于生成校准参数的方向。 用户可以执行这样的校准过程,而不需要通常结合常规校准技术使用的复杂校准设备。