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11.发明授权公开(公告)号：US07788264B2
公开(公告)日：2010-08-31
申请号：US11869899
申请日：2007-10-10
Applicant: Shenghuo Zhu , Kai Yu , Yun Chi , Yihong Gong
Inventor： Shenghuo Zhu , Kai Yu , Yun Chi , Yihong Gong
IPC: G06F17/30
CPC classification number: G06F17/30864
Abstract: Systems and methods for classifying documents each having zero or more links thereto include generating a link matrix; generating a document term matrix; and jointly factorizing the document term matrix and the link matrix.
Abstract translation: 用于对每个具有零个或多个链接的文档进行分类的系统和方法包括生成链接矩阵; 生成文档术语矩阵; 并将文档项矩阵和链接矩阵联合分解。
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公开(公告)号：US20090132901A1
公开(公告)日：2009-05-21
申请号：US11869899
申请日：2007-10-10
Applicant: Shenghuo Zhu , Kai Yu , Yun Chi , Yihong Gong
Inventor： Shenghuo Zhu , Kai Yu , Yun Chi , Yihong Gong
IPC: G06F17/00
CPC classification number: G06F17/30864
Abstract: Systems and methods for classifying documents each having zero or more links thereto include generating a link matrix; generating a document term matrix; and jointly factorizing the document term matrix and the link matrix.
Abstract translation: 用于对每个具有零个或多个链接的文档进行分类的系统和方法包括生成链接矩阵; 生成文档术语矩阵; 并将文档项矩阵和链接矩阵联合分解。
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公开(公告)号：US08639510B1
公开(公告)日：2014-01-28
申请号：US12341160
申请日：2008-12-22
Applicant: Kai Yu , Rob A. Rutenbar
Inventor： Kai Yu , Rob A. Rutenbar
CPC classification number: G10L15/08 , G10L15/32 , G10L2015/025 , G10L2015/085
Abstract: A hardware acoustic scoring unit for a speech recognition system and a method of operation thereof are provided. Rather than scoring all senones in an acoustic model used for the speech recognition system, acoustic scoring logic first scores a set of ciphones based on acoustic features for one frame of sampled speech. The acoustic scoring logic then scores senones associated with the N highest scored ciphones. In one embodiment, the number (N) is three. While the acoustic scoring logic scores the senones associated with the N highest scored ciphones, high score ciphone identification logic operates in parallel with the acoustic scoring unit to identify one or more additional ciphones that have scores greater than a threshold. Once the acoustic scoring unit finishes scoring the senones for the N highest scored ciphones, the acoustic scoring unit then scores senones associated with the one or more additional ciphones.
Abstract translation: 提供了一种用于语音识别系统的硬件声学评分单元及其操作方法。 声学评分逻辑不是在用于语音识别系统的声学模型中对所有的声音进行评分，而是首先根据一帧采样语音的声学特征对一组虹吸进行评分。 声学评分逻辑然后评分与N个最高得分的虹吸管相关联的声调。 在一个实施例中，数（N）为3。 虽然声学评分逻辑评分与N个最高得分的虹吸管相关联的声音，但高分数人声识别逻辑与声学评分单元并行操作，以识别具有大于阈值的分数的一个或多个附加虹吸。 一旦声学评分单元完成对N个最高得分的虹吸分数的声分数，则声学评分单元然后评分与一个或多个附加虹吸管相关联的声调。
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公开(公告)号：US08582807B2
公开(公告)日：2013-11-12
申请号：US12790979
申请日：2010-05-31
Applicant: Ming Yang , Shenghuo Zhu , Fengjun Lv , Kai Yu
Inventor： Ming Yang , Shenghuo Zhu , Fengjun Lv , Kai Yu
IPC: G06K9/00
CPC classification number: G06K9/00248 , G06K9/4628 , G06K2009/00322
Abstract: Systems and methods are disclosed for determining personal characteristics from images by generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); capturing correspondences of faces by face tracking, and applying incremental learning to the CNNs and enforcing correspondence constraint such that CNN outputs are consistent and stable for one person.
Abstract translation: 公开了用于通过生成基线性别模型和使用一个或多个卷积神经网络（CNN）的年龄估计模型来确定来自图像的个人特征的系统和方法; 通过面部跟踪获取面部对应关系，并将增量学习应用于CNN，并执行对应约束，使得CNN输出对于一个人来说是一致和稳定的。
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公开(公告)号：US08447119B2
公开(公告)日：2013-05-21
申请号：US12818156
申请日：2010-06-18
Applicant: Kai Yu
Inventor： Kai Yu
IPC: G06K9/62
CPC classification number: G06K9/00664 , G06K9/6223 , G06K9/6269
Abstract: Methods and systems are disclosed for image classification coding an image by nonlinearly mapping an image descriptor to form a high-dimensional sparse vector; spatially pooling each local region to form an image-level feature vector using a probability kernel incorporating a similarity metric of local descriptors; and classifying the image.
Abstract translation: 公开了通过非线性映射图像描述符以形成高维稀疏矢量的图像分类编码图像的方法和系统; 使用包含局部描述符的相似性度量的概率内核在空间上汇集每个局部区域以形成图像级特征向量; 并分类图像。
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Patent Agency Ranking
公开(公告)号：US20130011262A1
公开(公告)日：2013-01-10
申请号：US13634873
申请日：2011-05-22
Applicant: Xuegen Xu , Kai Yu , Guorong He
Inventor： Xuegen Xu , Kai Yu , Guorong He
IPC: F03D1/06
CPC classification number: F03D7/0224 , F05B2240/2213 , F05B2250/311 , F05B2260/79 , Y02E10/721 , Y02E10/723
Abstract: The invention designs a downwind variable pitch wind turbine generator which mainly comprises a wheel hub, a main shaft, a generator, a frame and a base, wherein a synchronizing disc is arranged in the wheel hub, the synchronizing disc is connected with a fan blade connection slewing bearing through two joint bearings which are in mutual butt joint, one end of a reciprocating rod arranged in the main shaft is connected with the synchronizing disc, the other end of the reciprocating rod is connected with a displacement sleeve, an electric push rod is arranged in the frame, and the displacement sleeve is connected with the electric push rod. The downward variable pitch wind turbine generator is mainly suitable for medium and small-sized fans, and a pitch control mechanism of the downward variable pitch wind turbine generator can control three blades to change pitch simultaneously and keep the pitch-changing amplitude consistent; and the pitch control mechanism can enable each blade to change the pitch to a certain negative angle, realize the shutdown of the downward variable pitch wind turbine generator and keep the shutdown state under harsh conditions, such as hurricane and the like. The frame can rotate 360 degrees relative to the base so as to adapt to all wind directions. In addition, the downwind variable pitch wind turbine generator is further provided with an anemometer and a controller, so that the reaction is more sensitive and the downwind variable pitch wind turbine generator can be suitable for wind direction and wind speed, which change suddenly.
Abstract translation: 本发明设计了一种顺风变桨距风力发电机，其主要包括轮毂，主轴，发电机，框架和基座，其中同步盘布置在轮毂中，同步盘与风扇叶片 连接通过两个相互对接的关节轴承的回转支承，布置在主轴上的往复杆的一端与同步盘连接，往复杆的另一端与排量套筒连接，电动推杆 布置在框架中，并且位移套筒与电动推杆连接。 向下变桨距风力发电机主要适用于中小型风机，向下变桨距风力发电机的俯仰控制机构可同时控制三台叶片同时变桨距，保持变桨幅度一致; 并且俯仰控制机构能够使各叶片将桨距改变为一定的负角度，实现向下变桨距风力发电机的关闭，并在诸如飓风等恶劣条件下保持关闭状态。 框架可以相对于基座旋转360度，以适应所有的风向。 此外，顺风变桨距风力发电机还设置有风速计和控制器，使得反应更加灵敏，而风向变风量风力发电机可以适应风向和风速的突然变化。
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17.发明授权公开(公告)号：US08131732B2
公开(公告)日：2012-03-06
申请号：US12331346
申请日：2008-12-09
Applicant: Kai Yu , Shenghuo Zhu , Yihong Gong
Inventor： Kai Yu , Shenghuo Zhu , Yihong Gong
CPC classification number: G06F17/30867 , G06F17/16
Abstract: A system is disclosed with a collaborative filtering engine to predict an active user's ratings/interests/preferences on a set of new products/items. The predictions are based on an analysis the database containing the historical data of many users' ratings/interests/preferences on a large set of products/items.
Abstract translation: 公开了一种具有协作过滤引擎的系统，以预测一组新产品/项目上的主动用户的评级/兴趣/偏好。 这些预测是基于对包含大量产品/项目的许多用户评级/兴趣/偏好的历史数据的数据库的分析。
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公开(公告)号：US20110222724A1
公开(公告)日：2011-09-15
申请号：US12790979
申请日：2010-05-31
Applicant: Ming Yang , Shenghuo Zhu , Fengjun Lv , Kai Yu
Inventor： Ming Yang , Shenghuo Zhu , Fengjun Lv , Kai Yu
IPC: G06K9/62
CPC classification number: G06K9/00248 , G06K9/4628 , G06K2009/00322
Abstract: Systems and methods are disclosed for determining personal characteristics from images by generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); capturing correspondences of faces by face tracking, and applying incremental learning to the CNNs and enforcing correspondence constraint such that CNN outputs are consistent and stable for one person.
Abstract translation: 公开了用于通过生成基线性别模型和使用一个或多个卷积神经网络（CNN）的年龄估计模型来确定来自图像的个人特征的系统和方法; 通过面部跟踪获取面部对应关系，并将增量学习应用于CNN，并执行对应约束，使得CNN输出对于一个人来说是一致和稳定的。
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公开(公告)号：US20110205106A1
公开(公告)日：2011-08-25
申请号：US12976870
申请日：2010-12-22
Applicant: Aurelian Bria , Farshid Ghasemzadeh , Muhammad Ali Kazmi , Kai Yu
Inventor： Aurelian Bria , Farshid Ghasemzadeh , Muhammad Ali Kazmi , Kai Yu
IPC: H04B7/185
CPC classification number: G01S19/11 , H04W52/143 , H04W52/367
Abstract: Embodiments herein include a method and a network node in a wireless communications network for controlling a maximum output power of the network node. The network node comprises a Global Navigation Satellite System (GNSS) receiver. The GNSS receiver receives signals from the GNSS. The method comprises determining whether a GNSS signal transmitted from the GNSS is considered detectable. If the GNSS signal is considered detectable, the method includes determining whether the GNSS signal is received directly from the GNSS or via a GNSS repeater. The method further includes selecting a power control method for controlling the maximum output power of the network node, based on at least one of the determination of whether the GNSS signal is considered detectable, and the determination of whether the GNSS signal is received directly from the GNSS or via the GNSS repeater.
Abstract translation: 本文的实施例包括用于控制网络节点的最大输出功率的无线通信网络中的方法和网络节点。 网络节点包括全球导航卫星系统（GNSS）接收机。 GNSS接收机接收来自GNSS的信号。 该方法包括确定从GNSS发射的GNSS信号是否被认为是可检测的。 如果GNSS信号被认为是可检测的，则该方法包括确定GNSS信号是直接从GNSS接收还是经由GNSS中继器接收。 该方法还包括：基于确定GNSS信号是否被检测到的至少一个来选择用于控制网络节点的最大输出功率的功率控制方法，以及是否直接从 GNSS或GNSS中继器。
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公开(公告)号：US20100124377A1
公开(公告)日：2010-05-20
申请号：US12469073
申请日：2009-05-20
Applicant: Kai Yu , Jianchao Yang , Yihong Gong
Inventor： Kai Yu , Jianchao Yang , Yihong Gong
IPC: G06K9/62
CPC classification number: G06K9/6249 , G06K9/4671
Abstract: Systems and methods are disclosed to classify an input image by determining a spatial-pyramid image representation based on sparse coding; determining a descriptor for each interest point in the input image; encoding the descriptor; and applying max pooling to form the spatial pyramid representation of images.
Abstract translation: 公开了系统和方法，以通过基于稀疏编码确定空间 - 金字塔图像表示来对输入图像进行分类; 确定所述输入图像中每个兴趣点的描述符; 编码描述符; 并应用最大池来形成图像的空间金字塔表示。
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