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    Broad spectral range polarization rotator
    33.
    发明申请
    Broad spectral range polarization rotator 有权
    宽光谱范围偏振旋转器

    公开(公告)号：US20070070501A1

    公开(公告)日：2007-03-29

    申请号：US11238307

    申请日：2005-09-29

    申请人： Bing Wen ,  Milind Mahajan ,  Bruce Winker

    发明人： Bing Wen ,  Milind Mahajan ,  Bruce Winker

    IPC分类号： G02B27/28

    CPC分类号： G02B27/286

    摘要： A switchable apochromatic polarization rotator is provided. A first fixed waveplate has a first principal axis fixed in a first orientation. A second fixed waveplate has a second principal axis fixed in a second orientation. First and second switchable waveplates have principal axes oriented such that broad spectral range electromagnetic radiation transmitted through all of the waveplates has a first rotated polarization, wherein, in response to one or more control signals applied to the switchable waveplates, the principal axes of the switchable waveplates rotate such that the electromagnetic radiation transmitted through all of the waveplates has a second rotated polarization. The switchable waveplates utilize ferroelectric liquid crystal material, nematic liquid crystal material, or be mechanically rotated to adjust for orientation of their principal axes. Utilizing waveplates as described may be used to tune for a desired spectral range and/or compensate for temperature dependencies.

    摘要翻译： 提供可切换的复消色偏振旋转器。 第一固定波片具有以第一取向固定的第一主轴。 第二固定波片具有以第二取向固定的第二主轴。 第一和第二可切换波片具有主轴定向，使得透射通过所有波片的宽光谱范围电磁辐射具有第一旋转偏振，其中响应于施加到可切换波片的一个或多个控制信号，可切换的主轴 波片旋转，使得透过所有波片的电磁辐射具有第二旋转极化。 可切换波片利用铁电液晶材料，向列型液晶材料，或机械旋转以调整其主轴的取向。 利用如上所述的波片可用于调谐所需的光谱范围和/或补偿温度依赖性。

    Location-aware application searching
    36.
    发明授权
    Location-aware application searching 有权
    位置感知应用程序搜索

    公开(公告)号：US08688726B2

    公开(公告)日：2014-04-01

    申请号：US13398342

    申请日：2012-02-16

    申请人： Milind Mahajan ,  Amit Kumar

    发明人： Milind Mahajan ,  Amit Kumar

    IPC分类号： G06F17/30

    CPC分类号： G06F17/3087 ,  G06F8/61 ,  G06F9/44505

    摘要： Computer-readable media, computer systems, and computing methods are provided for implicitly discovering applications that have a corresponding location. Initially, an application manifest is constructed that maintains a mapping between apps and their respective geographic boundaries. In operation, upon detecting a location signal being transmitted from a mobile device, the location signal is employed to identify a set of valid applications. Generally, the location signal represents location-based information entered to or received from the mobile device. Identifying the set of valid applications involves comparing the location signal against the application manifest and, based on the comparison, designating those apps that are mapped to geographic boundaries that meet the location signal as the set of valid applications. Upon identifying the set of valid applications, a selection of apps included within the set of valid applications is sent to the mobile device for display to the user within a operational context.

    摘要翻译： 提供计算机可读介质，计算机系统和计算方法用于隐含地发现具有对应位置的应用。 最初，构建了应用程序清单，其维护应用程序与其各自的地理边界之间的映射。 在操作中，在检测到从移动设备发送的位置信号时，使用位置信号来识别一组有效的应用。 通常，位置信号表示输入到或从移动设备接收的基于位置的信息。 识别有效应用的集合包括将位置信号与应用清单进行比较，并且基于比较，将映射到满足位置信号的地理边界的那些应用指定为有效应用的集合。 在识别有效应用集合之后，将包含在有效应用程序集内的应用程序的选择发送到移动设备，以在操作上下文内向用户显示。

    INTEGRATING APPLICATIONS WITHIN SEARCH RESULTS
    37.
    发明申请
    INTEGRATING APPLICATIONS WITHIN SEARCH RESULTS 有权
    在搜索结果中集成应用程序

    公开(公告)号：US20120284247A1

    公开(公告)日：2012-11-08

    申请号：US13102536

    申请日：2011-05-06

    申请人： Li Jiang ,  Milind Mahajan ,  Amit Kumar ,  Paul Alfred Viola ,  Sanaz Ahari ,  Steve Macbeth

    发明人： Li Jiang ,  Milind Mahajan ,  Amit Kumar ,  Paul Alfred Viola ,  Sanaz Ahari ,  Steve Macbeth

    IPC分类号： G06F7/00

    CPC分类号： G06F17/30867

    摘要： Computer-readable media, computer systems, and computing methods are provided for implicitly discovering applications using a query or search results, where the query does not explicitly target a particular application. A search engine is used to receive a user-initiated query and to employ a keyword of the query to generate an initial set of search results. Characteristics of the search results are identified and applications that are relevant to the characteristics are determined. The determination of relevant applications include: accessing an application manifest that manages a mapping between applications and predefined characteristics; comparing the characteristics of the search results against the predefined characteristics of the application manifest to determine a match; and, when a match exists between the search-result characteristics and the predefined characteristics, identifying applications mapped to the matched characteristics as being relevant to the search results. These identified applications are presented in response to the query.

    摘要翻译： 提供了计算机可读介质，计算机系统和计算方法，用于使用查询或搜索结果隐式发现应用程序，其中查询未明确定位特定应用程序。 搜索引擎用于接收用户发起的查询并且使用查询的关键词来生成初始搜索结果集。 确定搜索结果的特征，确定与特征相关的应用。 相关应用的确定包括：访问管理应用程序和预定义特性之间的映射的应用程序清单; 将搜索结果的特征与应用程序清单的预定义特征进行比较以确定匹配; 并且当搜索结果特征与预定特征之间存在匹配时，将映射到匹配特征的应用识别为与搜索结果相关。 这些识别的应用程序是响应于查询而呈现的。

    Discriminative training of language models for text and speech classification
    38.
    发明授权
    Discriminative training of language models for text and speech classification 有权
    文本和语言分类语言模型的歧视性训练

    公开(公告)号：US08306818B2

    公开(公告)日：2012-11-06

    申请号：US12103035

    申请日：2008-04-15

    申请人： Ciprian Chelba ,  Alejandro Acero ,  Milind Mahajan

    发明人： Ciprian Chelba ,  Alejandro Acero ,  Milind Mahajan

    IPC分类号： G10L15/00 ,  G06F17/27

    CPC分类号： G06F17/2715 ,  G06F17/2818 ,  G10L15/183 ,  G10L15/197

    摘要： Methods are disclosed for estimating language models such that the conditional likelihood of a class given a word string, which is very well correlated with classification accuracy, is maximized. The methods comprise tuning statistical language model parameters jointly for all classes such that a classifier discriminates between the correct class and the incorrect ones for a given training sentence or utterance. Specific embodiments of the present invention pertain to implementation of the rational function growth transform in the context of a discriminative training technique for n-gram classifiers.

    摘要翻译： 公开了用于估计语言模型的方法，使得给定字串的类的条件似然性与分类准确度非常良好地相关联。 这些方法包括对所有类共同调整统计语言模型参数，使得分类器在给定训练句或话语中区分正确类和不正确类之间的差异。 本发明的具体实施例涉及在n-gram分类器的鉴别训练技术的上下文中实现有理函数增长变换。

    Discriminative training of language models for text and speech classification
    40.
    发明授权
    Discriminative training of language models for text and speech classification 有权
    文本和语言分类语言模型的歧视性训练

    公开(公告)号：US07379867B2

    公开(公告)日：2008-05-27

    申请号：US10453349

    申请日：2003-06-03

    申请人： Ciprian Chelba ,  Alejandro Acero ,  Milind Mahajan

    发明人： Ciprian Chelba ,  Alejandro Acero ,  Milind Mahajan

    IPC分类号： G06F17/27 ,  G10L15/00

    CPC分类号： G06F17/2715 ,  G06F17/2818 ,  G10L15/183 ,  G10L15/197

    摘要： Methods are disclosed for estimating language models such that the conditional likelihood of a class given a word string, which is very well correlated with classification accuracy, is maximized. The methods comprise tuning statistical language model parameters jointly for all classes such that a classifier discriminates between the correct class and the incorrect ones for a given training sentence or utterance. Specific embodiments of the present invention pertain to implementation of the rational function growth transform in the context of a discriminative training technique for n-gram classifiers.

    摘要翻译： 公开了用于估计语言模型的方法，使得给定字串的类的条件似然性与分类准确度非常良好地相关联。 这些方法包括对所有类共同调整统计语言模型参数，使得分类器在给定训练句或话语中区分正确类和不正确类之间的差异。 本发明的具体实施例涉及在n-gram分类器的鉴别训练技术的上下文中实现有理函数增长变换。