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公开(公告)号：US20110238490A1
公开(公告)日：2011-09-29
申请号：US12732031
申请日：2010-03-25
CPC分类号： G06Q30/08 , G06Q30/02 , G06Q30/0244 , G06Q30/0247 , G06Q30/0256 , G06Q30/0275
摘要： Various embodiments provide techniques for auction flighting. In one or more embodiments, a control group and a test group are designated for participants who compete one to another in online auctions. An inclusive model may then be employed for testing of new conditions for auctions using the groups. In particular, multiple auctions can be conducted and/or simulated, such that control conditions are applied in auctions that do not include at least one member of the test group, and test conditions are applied in auctions having members from both the test group and the control group. A response to the test conditions can then be measured by analyzing behaviors of the participants in the auctions conducted with the control conditions in comparison to behaviors of participants in the auctions conducted with the test conditions.
摘要翻译： 各种实施例提供拍卖飞行的技术。 在一个或多个实施例中，对照组和测试组被指定用于在线拍卖中彼此竞争的参与者。 然后可以使用包容性模型来测试使用这些组的拍卖的新条件。 特别地，可以进行和/或模拟多个拍卖，使得控制条件被应用于不包括测试组的至少一个成员的拍卖，并且测试条件被应用于具有来自测试组和 控制组。 然后可以通过分析与控制条件进行的拍卖的参与者的行为相比较，在与测试条件进行的拍卖中的参与者的行为相比较，来测量对测试条件的响应。
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公开(公告)号：US20110251889A1
公开(公告)日：2011-10-13
申请号：US12757634
申请日：2010-04-09
CPC分类号： G06Q30/0244 , G06Q30/02 , G06Q30/0247
摘要： Various embodiments provide techniques for inventory clustering. In one or more embodiments, a set of inventory to be processed is placed into an initial cluster. The inventory can be related to impressions for advertising that are defined by values for a set of attributes. Recursive division of the initial cluster is performed by selecting an attribute and deriving child clusters that are constrained by one or more values of the attributes in accordance with one or more clustering algorithms. The clustering algorithms are configured to derive an optimum number of clusters by repetitively generating smaller child clusters and measuring a cost associated with adding additional clusters. Additional child clusters can be formed in this manner until the measured cost to add more clusters outweighs a benefit of adding more clusters.
摘要翻译： 各种实施例提供了用于库存聚类的技术。 在一个或多个实施例中，要处理的一组库存被放置到初始集群中。 广告资源可以与由一组属性的值定义的广告展示相关联。 通过选择属性并根据一个或多个聚类算法导出由一个或多个属性值约束的子簇来执行初始簇的递归分割。 聚类算法被配置为通过重复地生成较小的子簇并测量与添加附加簇相关联的成本来导出最佳数量的簇。 可以以这种方式形成额外的子群集，直到添加更多簇的测量成本超过添加更多簇的好处。
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公开(公告)号：US20110234594A1
公开(公告)日：2011-09-29
申请号：US12748014
申请日：2010-03-26
IPC分类号： G06T11/20
CPC分类号： G06K9/6224 , G06F17/30958 , G06Q30/02 , G06Q30/08
摘要： Various embodiments provide techniques for graph clustering. In one or more embodiments, a participation graph is obtained that represents relationships between entities. An auxiliary graph is constructed based on the participation graph. The auxiliary graph may be constructed such that the auxiliary graph is less dense than the participation graph and is therefore computationally less complex to analyze. Clusters in the auxiliary graph are determined by solving an objective function defined for the auxiliary graph. Clusters determined for the auxiliary graph may then be utilized to ascertain clusters in the participation graph that solve a related objective function defined for the participation graph.
摘要翻译： 各种实施例提供了用于图形聚类的技术。 在一个或多个实施例中，获得表示实体之间的关系的参与图。 基于参与图构建辅助图。 辅助图可以被构造成使得辅助图不如参与图密度小，因此在计算上不太分析复杂。 辅助图中的簇通过求解辅助图定义的目标函数来确定。 然后可以使用为辅助图确定的群集来确定参与图中的聚类，以解决为参与图定义的相关目标函数。
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4.发明授权公开(公告)号：US07844114B2
公开(公告)日：2010-11-30
申请号：US11299873
申请日：2005-12-12
IPC分类号： G06K9/18
CPC分类号： G06K9/80
摘要： A method and system for implementing character recognition is described herein. An input character is received. The input character is composed of one or more logical structures in a particular layout. The layout of the one or more logical structures is identified. One or more of a plurality of classifiers are selected based on the layout of the one or more logical structures in the input character. The entire character is input into the selected classifiers. The selected classifiers classify the logical structures. The outputs from the selected classifiers are then combined to form an output character vector.
摘要翻译： 本文描述了用于实现字符识别的方法和系统。 接收到一个输入字符。 输入字符由特定布局中的一个或多个逻辑结构组成。 识别一个或多个逻辑结构的布局。 基于输入字符中的一个或多个逻辑结构的布局来选择多个分类器中的一个或多个。 整个字符被输入到所选择的分类器中。 所选分类器对逻辑结构进行分类。 然后将所选分类器的输出组合以形成输出字符向量。
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公开(公告)号：US07475061B2
公开(公告)日：2009-01-06
申请号：US10758370
申请日：2004-01-15
CPC分类号： G06F17/30011 , G06F17/30253 , G06K9/00463 , Y10S707/99933 , Y10S707/99934 , Y10S707/99936
摘要： A system that facilitates document retrieval and/or indexing is provided. A component receives an image of a document, and a search component searches data store(s) for a match to the document image. The match is performed over word-level topological properties of images of documents stored in the data store(s).
摘要翻译： 提供了一种便于文档检索和/或索引的系统。 组件接收文档的图像，并且搜索组件搜索与文档图像匹配的数据存储。 在存储在数据存储中的文档的图像的字级拓扑属性上执行匹配。
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公开(公告)号：US07450786B2
公开(公告)日：2008-11-11
申请号：US10993965
申请日：2004-11-19
CPC分类号： G06F3/0425 , B43L1/00 , H04N7/142
摘要： An image capturing system is installable in a room opposite a writing surface. The image capturing system is adapted to take visual images of the writing surface and identify information written thereon.
摘要翻译： 图像捕获系统可安装在与书写面相对的房间中。 图像拍摄系统适于拍摄书写表面的视觉图像并识别写在其上的信息。
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公开(公告)号：US07386171B2
公开(公告)日：2008-06-10
申请号：US11845588
申请日：2007-08-27
申请人： Patrice Y. Simard
发明人： Patrice Y. Simard
IPC分类号： G06K9/46
CPC分类号： G06K9/00456
摘要： A system and method facilitating activity (e.g., dithering/half toning and/or noise) detection is provided. The invention includes an activity detection system having a connected component analyzer and an activity detector. The invention provides for the quantity of connected component(s) in and/or intersecting a region surrounding a pixel to be determined. The activity detector provides an activity map output based, at least in part, upon the quantity of connected component(s) in and/or intersecting the region. The invention further provides for an optional image processor. In one example, if the quantity exceeds a first threshold, dithering/half toning is detected and appropriate action can be taken. Additionally, if the quantity is less than a second threshold, noise is detected and appropriate action can be taken.
摘要翻译： 提供了促进活动（例如，抖动/半色调和/或噪声）检测的系统和方法。 本发明包括具有连接分量分析器和活动检测器的活动检测系统。 本发明提供在要确定的像素周围的区域中和/或相交的连接分量的量。 活动检测器至少部分地基于在区域中和/或与该区域相交的连接分量的量来提供活动图输出。 本发明还提供了一种可选的图像处理器。 在一个示例中，如果数量超过第一阈值，则检测到抖动/半色调，并且可以采取适当的动作。 此外，如果数量小于第二阈值，则检测噪声并且可以采取适当的动作。
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公开(公告)号：US07286699B2
公开(公告)日：2007-10-23
申请号：US11327913
申请日：2006-01-09
CPC分类号： G06K9/4628 , G06K9/00422 , G06K2209/011
摘要： A system and method facilitating pattern recognition is provided. The invention includes a pattern recognition system having a convolutional neural network employing feature extraction layer(s) and classifier layer(s). The feature extraction layer(s) comprises convolutional layers and the classifier layer(s) comprises fully connected layers. The pattern recognition system can be trained utilizing a calculated cross entropy error. The calculated cross entropy error is utilized to update trainable parameters of the pattern recognition system.
摘要翻译： 提供了一种促进模式识别的系统和方法。 本发明包括具有使用特征提取层和分类器层的卷积神经网络的模式识别系统。 特征提取层包括卷积层，分类层包括完全连接的层。 可以使用计算的交叉熵误差来训练模式识别系统。 计算的交叉熵误差用于更新模式识别系统的可训练参数。
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9.发明授权System and method for accelerating and optimizing the processing of machine learning techniques using a graphics processing unit 有权用于加速和优化使用图形处理单元的机器学习技术的处理的系统和方法公开(公告)号：US07219085B2
公开(公告)日：2007-05-15
申请号：US10837382
申请日：2004-04-30
IPC分类号： G06F15/80
CPC分类号： G06K9/00986 , G06N3/08
摘要： A system and method for processing machine learning techniques (such as neural networks) and other non-graphics applications using a graphics processing unit (GPU) to accelerate and optimize the processing. The system and method transfers an architecture that can be used for a wide variety of machine learning techniques from the CPU to the GPU. The transfer of processing to the GPU is accomplished using several novel techniques that overcome the limitations and work well within the framework of the GPU architecture. With these limitations overcome, machine learning techniques are particularly well suited for processing on the GPU because the GPU is typically much more powerful than the typical CPU. Moreover, similar to graphics processing, processing of machine learning techniques involves problems with solving non-trivial solutions and large amounts of data.
摘要翻译： 一种用于处理机器学习技术（例如神经网络）和使用图形处理单元（GPU）来加速和优化处理的其他非图形应用的系统和方法。 该系统和方法传输一种可用于从CPU到GPU的各种机器学习技术的架构。 处理到GPU的转移是通过克服这些限制并在GPU架构的框架内工作良好的几种新技术实现的。 由于克服了这些限制，机器学习技术特别适用于GPU上的处理，因为GPU通常比典型的CPU功能更强大。 此外，类似于图形处理，机器学习技术的处理涉及解决非平凡解决方案和大量数据的问题。
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公开(公告)号：US07203371B2
公开(公告)日：2007-04-10
申请号：US11287671
申请日：2005-11-28
申请人： Patrice Y. Simard , Henrique S. Malvar , Dinei Afonso Ferreira Florencio , David Willard Steinkraus
发明人： Patrice Y. Simard , Henrique S. Malvar , Dinei Afonso Ferreira Florencio , David Willard Steinkraus
IPC分类号： G06K9/36
摘要： Systems and methods for performing adaptive filtering are disclosed. The present invention generates probabilities that can be used in an encoder, such as an arithmetic encoder and generates those probabilities in a computationally efficient manner. Probabilities of previously encoded coefficients are employed, effectively, in generating probabilities of the coefficients without regard to directional information. Thus, a large amount of information is adaptively and efficiently used in generating the probabilities. For the coefficients, the probability is computed based at least partly on at least one probability of a previously computed probability of a neighboring coefficient. Then, the coefficients are encoded using those computed probabilities.
摘要翻译： 公开了用于执行自适应滤波的系统和方法。 本发明产生可以在诸如算术编码器的编码器中使用的概率，并以计算有效的方式生成这些概率。 先前编码的系数的概率被有效地用于在不考虑方向信息的情况下生成系数的概率。 因此，在生成概率时自适应地有效地使用大量的信息。 对于系数，概率至少部分地基于先前计算的相邻系数的概率的至少一个概率来计算。 然后，使用那些计算的概率对系数进行编码。
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