PERSONAL LANGUAGE MODEL FOR INPUT METHOD EDITOR
    21.
    发明申请
    PERSONAL LANGUAGE MODEL FOR INPUT METHOD EDITOR 有权
    用于输入法编辑的个人语言模型

    公开(公告)号:US20150186362A1

    公开(公告)日:2015-07-02

    申请号:US14423914

    申请日:2012-08-31

    Applicant: Mu Li Xi Chen

    Inventor: Mu Li Xi Chen

    CPC classification number: G06F17/2863 G06F17/2223 G06F17/276

    Abstract: Some examples include generating a personal language model based on linguistic characteristics of one or more files stored at one or more locations in a file system. Further, some implementations include predicting and presenting a non-Latin character string based at least in part on the personal language model, such as in response to receiving a Latin character string via an input method editor interface.

    Abstract translation: 一些示例包括基于存储在文件系统中的一个或多个位置处的一个或多个文件的语言特征来生成个人语言模型。 此外,一些实现方式包括至少部分地基于个人语言模型来预测和呈现非拉丁字符串,例如响应于经由输入方法编辑器界面接收拉丁字符串。

    Method for Representing Images Using Quantized Embeddings of Scale-Invariant Image Features
    22.
    发明申请
    Method for Representing Images Using Quantized Embeddings of Scale-Invariant Image Features 有权
    使用量化不变图像特征的量化嵌入来表示图像的方法

    公开(公告)号:US20130336588A1

    公开(公告)日:2013-12-19

    申请号:US13525222

    申请日:2012-06-15

    CPC classification number: G06K9/6239 G06K9/4671

    Abstract: Scale-invariant features are extracted from an image. The features are projected to a lower dimensional random projection matrix by multiplying the features by a matrix of random entries. The matrix of random projections is quantized to produce a matrix of quantization indices, which form a query vector for searching a database of images to retrieve metadata related to the image.

    Abstract translation: 从图像中提取尺度不变特征。 通过将特征乘以随机条目的矩阵,将特征投影到较低维度的随机投影矩阵。 量化随机投影矩阵以产生量化索引矩阵,其形成用于搜索图像的数据库以检索与图像相关的元数据的查询向量。

    Method and System of Processing Cookies Across Domains
    24.
    发明申请
    Method and System of Processing Cookies Across Domains 有权
    跨域处理饼干的方法和系统

    公开(公告)号:US20120011262A1

    公开(公告)日:2012-01-12

    申请号:US12674721

    申请日:2010-01-07

    CPC classification number: G06F15/173 G06F17/30902

    Abstract: Method and system of processing cross-domain cookies in order to allow a first website to access a cookie of a second website are provided. In one aspect, a method includes: providing a flash cookie of a first website in a user's local computer; reading an ordinary cookie of a second website that is stored in the user's local computer; and writing the ordinary cookie of the second website into the flash cookie of the first website. Based on this method, it is achievable to access and store cookies across domains in the user's local computer. Accordingly, the method enables e-commerce websites to have a more comprehensive collection of user information to provide more reliable references for the e-commerce websites to analyze user information.

    Abstract translation: 提供了处理跨域Cookie以便允许第一网站访问第二网站的cookie的方法和系统。 一方面,一种方法包括:在用户的本地计算机中提供第一网站的闪存cookie; 读取存储在用户本地计算机中的第二个网站的普通cookie; 并将第二个网站的普通cookie写入第一个网站的Flash cookie。 基于这种方法,可以在用户本地计算机的域中访问和存储Cookie。 因此,该方法使电子商务网站能够更全面地收集用户信息,为电子商务网站提供更可靠的参考来分析用户信息。

    Chinese word segmentation
    25.
    发明申请
    Chinese word segmentation 审中-公开
    中文分词

    公开(公告)号:US20050071148A1

    公开(公告)日:2005-03-31

    申请号:US10662602

    申请日:2003-09-15

    CPC classification number: G06F17/2755 G06F17/277 G06F17/2863

    Abstract: The present invention relates to a corpus for use in training a language model. The corpus includes a plurality of characters and a plurality of morphological tags associated with a plurality of sequences of characters. The plurality of morphological tags indicate a morphological type of an associated sequence of characters and a combination of parts forming a morphological subtype.

    Abstract translation: 本发明涉及一种用于训练语言模型的语料库。 语料库包括与多个字符序列相关联的多个字符和多个形态标签。 多个形态标签表示相关联的字符序列的形态类型和形成形态亚型的部分的组合。

    SUBSTRATE HAVING ANIMATED FLASHING FIGURE, APPLICATION THEREOF AND MANUFACTURING METHOD OF THE SAME
    26.
    发明申请
    SUBSTRATE HAVING ANIMATED FLASHING FIGURE, APPLICATION THEREOF AND MANUFACTURING METHOD OF THE SAME 审中-公开
    具有动画闪光图的基板,其应用及其制造方法

    公开(公告)号:US20130065025A1

    公开(公告)日:2013-03-14

    申请号:US13228599

    申请日:2011-09-09

    Applicant: KUN-MU LI

    Inventor: KUN-MU LI

    Abstract: A substrate having animated flashing figures, applications thereof, and a manufacturing method of the same are revealed. A reflective film with an electroplated layer on a surface is covered over the base material. Then at least two figures are printed on the reflective film to form a printed layer. The figures are cut into strips and then the strips are arranged alternatively. Finally, a surface grating layer is arranged over the printed layer. Through the combination of the reflective film, the printed layer formed by staggered strips of the figures, and the surface grating layer, figures on a surface of the substrate show an animated flashing effect. The substrate can be applied to various products such as containers, trays, eyeglass frames, watch bands, etc.

    Abstract translation: 揭示了具有动画闪烁图的基板,其应用及其制造方法。 表面上具有电镀层的反射膜覆盖在基材上。 然后在反射膜上印刷至少两个图形以形成印刷层。 将这些图形切割成条带,然后将条带交替排列。 最后,在印刷层上布置表面光栅层。 通过反射膜,由图中的交错条带形成的印刷层与表面光栅层的组合,基板表面上的图形显示出动画闪烁效果。 基材可以应用于各种产品,如容器,托盘,眼镜架,表带等。

    Distributional similarity-based models for query correction
    27.
    发明申请
    Distributional similarity-based models for query correction 有权
    基于分布相似性的查询校正模型

    公开(公告)号:US20080104056A1

    公开(公告)日:2008-05-01

    申请号:US11589557

    申请日:2006-10-30

    Applicant: Mu Li Ming Zhou

    Inventor: Mu Li Ming Zhou

    Abstract: A distributional similarity between a word of a search query and a term of a candidate word sequences is used to determine an error model probability that describes the probability of the search query given the candidate word sequence. The error model probability is used to determine a probability of the candidate word sequence given the search query. The probability of the candidate word sequence given the search query is used to select a candidate word sequence as a corrected word sequence for the search query. Distributional similarity is also used to build features that are applied in maximum entropy model to compute the probability of the candidate word sequence given the search query.

    Abstract translation: 使用搜索查询的词和候选词序列的词之间的分布相似度来确定描述候选词序列的搜索查询的概率的误差模型概率。 误差模型概率用于确定给定搜索查询的候选词序列的概率。 使用给出搜索查询的候选词序列的概率用于选择候选词序列作为搜索查询的校正单词序列。 分布相似性也用于构建在最大熵模型中应用的特征,以计算给定搜索查询的候选词序列的概率。

    Language classification with random feature clustering
    28.
    发明申请
    Language classification with random feature clustering 审中-公开
    语言分类与随机特征聚类

    公开(公告)号:US20060287848A1

    公开(公告)日:2006-12-21

    申请号:US11157091

    申请日:2005-06-20

    CPC classification number: G06F16/355

    Abstract: An ensemble of random feature clusters is built from training data using a clustering algorithm where some randomness has been introduced. For each clustered feature space, a classifier, such as a Naïve Bayesian Classifier, is trained, realizing a classifier ensemble. The final classification decision is made by the resulting classifier ensemble.

    Abstract translation: 随机特征群集由训练数据构建,使用聚类算法,其中引入了一些随机性。 对于每个聚类特征空间,训练一个分类器,如朴素贝叶斯分类器,实现分类器集合。 最终的分类决定是由所得到的分类器集合决定的。

    Post-processing system and method for correcting machine recognized text
    29.
    发明授权
    Post-processing system and method for correcting machine recognized text 失效
    用于校正机器识别文本的后处理系统和方法

    公开(公告)号:US07092567B2

    公开(公告)日:2006-08-15

    申请号:US10288645

    申请日:2002-11-04

    CPC classification number: G06K9/723 G06K2209/01

    Abstract: A method of post-processing character data from an optical character recognition (OCR) engine and apparatus to perform the method. This exemplary method includes segmenting the character data into a set of initial words. The set of initial words is word level processed to determine at least one candidate word corresponding to each initial word. The set of initial words is segmented into a set of sentences. Each sentence in the set of sentences includes a plurality of initial words and candidate words corresponding to the initial words. A sentence is selected from the set of sentences. The selected sentence is word disambiguity processed to determine a plurality of final words. A final word is selected from the at least one candidate word corresponding to a matching initial word. The plurality of final words is then assembled as post-processed OCR data.

    Abstract translation: 一种后处理来自光学字符识别(OCR)引擎和装置的字符数据的方法。 该示例性方法包括将字符数据分割成一组初始字。 初始字的集合被处理为字处理以确定与每个初始字对应的至少一个候选字。 该组初始单词被分割成一组句子。 该组句子中的每个句子包括与初始词对应的多个初始词和候选词。 从一组句子中选出一个句子。 所选择的句子是处理的词消除歧义以确定多个最终词。 从对应于匹配的初始字的至少一个候选字中选择最终字。 然后将多个最终单词组装为后处理OCR数据。

    Displaying online advertisements
    30.
    发明授权
    Displaying online advertisements 有权
    显示在线广告

    公开(公告)号:US08239257B2

    公开(公告)日:2012-08-07

    申请号:US12601579

    申请日:2009-06-05

    Applicant: Mu Li

    Inventor: Mu Li

    CPC classification number: G06Q30/02 G06Q30/0241 G06Q30/0251

    Abstract: Disclosed is a method for displaying an advertisement. The method displays a present advertisement, determines whether the present advertisement has been displayed completely, and adds an identifier of the present advertisement to a priority advertisement list if the present advertisement has not been displayed completely. The method sends the priority advertisement list to the advertisement engine when requesting the advertisement engine for displaying a next advertisement. Using the priority advertisement list, the advertisement engine may give priority to the present advertisement in next advertisement assignment. Using an optimized advertisement display strategy, the disclosed method may increase coverage rates of advertisement contents to audiences, thereby improving advertisement effectiveness for advertisers and increasing cash flow return for website owners.

    Abstract translation: 公开了一种显示广告的方法。 该方法显示当前广告,确定当前广告是否已经完全显示,并且如果当前广告没有被完全显示,则将当前广告的标识符添加到优先广告列表。 当请求用于显示下一广告的广告引擎时,该方法将优先广告列表发送到广告引擎。 使用优先广告列表,广告引擎可以在下一个广告分配中优先考虑当前广告。 使用优化的广告显示策略,所公开的方法可以增加广告内容对观众的覆盖率,从而提高广告商的广告效果,增加网站所有者的现金流量回报。

Patent Agency Ranking