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1. 发明申请

US20100191743A1 Contextual similarity measures for objects and retrieval, classification, and clustering using same 有权
标题翻译：使用相同的对象和检索，分类和聚类的上下文相似性度量
公开(公告)号：US20100191743A1
公开(公告)日：2010-07-29
申请号：US12361157
申请日：2009-01-28
申请人： Florent C. Perronnin , Yan Liu
发明人： Florent C. Perronnin , Yan Liu
IPC分类号： G06F17/30
CPC分类号： G06F17/30253 , G06K9/6215 , G06K9/72
摘要： A method of comparing first and second objects in a context comprises: maximizing or minimizing a quantitative comparison of the first object and a mixture of the second object and the context respective to a weighting parameter that controls the mixture; and outputting a comparison value based on the value of the weighting parameter determined by the maximizing or minimizing.
摘要翻译：在上下文中比较第一和第二对象的方法包括：最大化或最小化第一对象与第二对象与上下文的混合的定量比较，与控制混合的加权参数相对应; 并且基于由最大化或最小化确定的加权参数的值来输出比较值。

2. 发明申请

US20100098343A1 MODELING IMAGES AS MIXTURES OF IMAGE MODELS 有权
标题翻译：将图像建模为图像模型的混合
公开(公告)号：US20100098343A1
公开(公告)日：2010-04-22
申请号：US12252531
申请日：2008-10-16
申请人： Florent C. Perronnin , Yan Liu
发明人： Florent C. Perronnin , Yan Liu
IPC分类号： G06K9/62
CPC分类号： G06K9/6226
摘要： A system and method for generating an image representation are provided. The image is modeled as a set of mixture weights, one for each of a set of reference image models, such as Gaussian mixture models (GMMs). The weights are derived by optimizing an objective function in which each reference image model is associated with its respective weight.
摘要翻译：提供了一种用于生成图像表示的系统和方法。图像被建模为一组混合权重，一组用于一组参考图像模型，例如高斯混合模型（GMM）。权重通过优化每个参考图像模型与其相应权重相关联的目标函数而导出。

3. 发明授权

US08150858B2 Contextual similarity measures for objects and retrieval, classification, and clustering using same 有权
标题翻译：使用相同的对象和检索，分类和聚类的上下文相似性度量
公开(公告)号：US08150858B2
公开(公告)日：2012-04-03
申请号：US12361157
申请日：2009-01-28
申请人： Florent C. Perronnin , Yan Liu
发明人： Florent C. Perronnin , Yan Liu
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30253 , G06K9/6215 , G06K9/72
摘要： A method of comparing first and second objects in a context comprises: maximizing or minimizing a quantitative comparison of the first object and a mixture of the second object and the context respective to a weighting parameter that controls the mixture; and outputting a comparison value based on the value of the weighting parameter determined by the maximizing or minimizing.
摘要翻译：在上下文中比较第一和第二对象的方法包括：最大化或最小化第一对象与第二对象与上下文的混合的定量比较，与控制混合的加权参数相对应; 并且基于由最大化或最小化确定的加权参数的值来输出比较值。

4. 发明授权

US08463051B2 Modeling images as mixtures of image models 有权
标题翻译：将图像建模为图像模型的混合
公开(公告)号：US08463051B2
公开(公告)日：2013-06-11
申请号：US12252531
申请日：2008-10-16
申请人： Florent C. Perronnin , Yan Liu
发明人： Florent C. Perronnin , Yan Liu
IPC分类号： G06K9/62 , G06K9/74 , G06K9/32
CPC分类号： G06K9/6226
摘要： A system and method for generating an image representation are provided. The image is modeled as a set of mixture weights, one for each of a set of reference image models, such as Gaussian mixture models (GMMs). The weights are derived by optimizing an objective function in which each reference image model is associated with its respective weight.
摘要翻译：提供了一种用于生成图像表示的系统和方法。图像被建模为一组混合权重，一组用于一组参考图像模型，例如高斯混合模型（GMM）。权重通过优化每个参考图像模型与其相应权重相关联的目标函数而导出。

5. 发明授权

US08380647B2 Training a classifier by dimension-wise embedding of training data 有权
标题翻译：通过在维度上嵌入训练数据来训练分类器
公开(公告)号：US08380647B2
公开(公告)日：2013-02-19
申请号：US12541636
申请日：2009-08-14
申请人： Florent C. Perronnin , Jorge Sanchez , Yan Liu
发明人： Florent C. Perronnin , Jorge Sanchez , Yan Liu
IPC分类号： G06F17/00 , G06N5/00
CPC分类号： G06K9/6247 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： A classifier training method and apparatus for training, a linear classifier trained by the method, and its use, are disclosed. In training the linear classifier, signatures for a set of training samples, such as images, in the form of multi-dimension vectors in a first multi-dimensional space, are converted to a second multi-dimension space, of the same or higher dimensionality than the first multi-dimension space, by applying a set of embedding functions, one for each dimension of the vector space. A linear classifier is trained in the second multi-dimension space. The linear classifier can approximate the accuracy of a non-linear classifier in the original space when predicting labels for new samples, but with lower computation cost in the learning phase.
摘要翻译：公开了一种用于训练的分类器训练方法和装置，通过该方法训练的线性分类器及其用途。在训练线性分类器时，在第一多维空间中以多维向量的形式的一组训练样本（诸如图像）的签名被转换成具有相同或更高维度的第二多维空间比第一个多维空间，通过应用一组嵌入函数，一个用于向量空间的每个维度。在第二个多维空间中训练线性分类器。当预测新样本的标签时，线性分类器可以近似原始空间中的非线性分类器的精度，但在学习阶段具有较低的计算成本。

6. 发明申请

US20110040711A1 TRAINING A CLASSIFIER BY DIMENSION-WISE EMBEDDING OF TRAINING DATA 有权
标题翻译：通过维度训练数据的嵌入式训练分类器
公开(公告)号：US20110040711A1
公开(公告)日：2011-02-17
申请号：US12541636
申请日：2009-08-14
申请人： Florent C. Perronnin , Jorge Sanchez , Yan Liu
发明人： Florent C. Perronnin , Jorge Sanchez , Yan Liu
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06K9/6247 , G06K9/6232 , G06K9/6269 , G06N99/005
摘要： A classifier training method and apparatus for training, a linear classifier trained by the method, and its use, are disclosed. In training the linear classifier, signatures for a set of training samples, such as images, in the form of multi-dimension vectors in a first multi-dimensional space, are converted to a second multi-dimension space, of the same or higher dimensionality than the first multi-dimension space, by applying a set of embedding functions, one for each dimension of the vector space. A linear classifier is trained in the second multi-dimension space. The linear classifier can approximate the accuracy of a non-linear classifier in the original space when predicting labels for new samples, but with lower computation cost in the learning phase.
摘要翻译：公开了一种用于训练的分类器训练方法和装置，通过该方法训练的线性分类器及其用途。在训练线性分类器时，在第一多维空间中以多维向量的形式的一组训练样本（诸如图像）的签名被转换成具有相同或更高维度的第二多维空间比第一个多维空间，通过应用一组嵌入函数，一个用于向量空间的每个维度。在第二个多维空间中训练线性分类器。当预测新样本的标签时，线性分类器可以近似原始空间中的非线性分类器的精度，但在学习阶段具有较低的计算成本。

7. 外观设计

USD978282S1 Mosquito killer 有权
公开(公告)号：USD978282S1
公开(公告)日：2023-02-14
申请号：US29805840
申请日：2021-08-31
申请人： Yan Liu
设计人： Yan Liu

8. 发明申请

US20180130008A1 System and Method for Aerial Vehicle Automatic Landing and Cargo Delivery 审中-公开
公开(公告)号：US20180130008A1
公开(公告)日：2018-05-10
申请号：US15344556
申请日：2016-11-06
申请人： Yan Liu
发明人： Yan Liu
IPC分类号： G06Q10/08 , B64C39/02 , B64D47/08 , G06K7/14 , G06K19/06
CPC分类号： G06Q10/083 , B64C39/024 , B64C2201/128 , B64D47/08
摘要： An aerial vehicle equipped with a barcode reading sensor can initiate a landing process or cargo delivery process after reading preconfigured data from a barcode. The data configured in the barcode contains various forms of information including but not limited to GPS coordinates, barcode directions, identifications, size of the barcode, batter charging capabilities. This information can be used by the aerial vehicle how and where to land or deliver the cargo carried by the aerial vehicle, the aerial vehicle may also use this information to perform other tasks.

9. 发明授权

US09427413B2 Uses of hypoxia-inducible factor inhibitors 有权
标题翻译：缺氧诱导因子抑制剂的使用
公开(公告)号：US09427413B2
公开(公告)日：2016-08-30
申请号：US13513659
申请日：2010-06-25
申请人： Yang Liu , Yin Wang , Yan Liu , Sami N. Malek , Pan Zheng
发明人： Yang Liu , Yin Wang , Yan Liu , Sami N. Malek , Pan Zheng
IPC分类号： A01N43/00 , A61K31/33 , A61K31/00 , A61K31/395 , A61K31/498 , A61K31/565 , A61K45/06
CPC分类号： A61K38/07 , A61K31/00 , A61K31/395 , A61K31/4355 , A61K31/498 , A61K31/565 , A61K38/08 , A61K45/06 , A61K2300/00
摘要： The present invention relates to treating a hematologic cancer using a Hypoxia-Inducible Factor (HIF inhibitor). The invention also relates to inducing acute myeloid leukemia remission using the HIF inhibitor. The invention further relates to inhibiting a maintenance or survival function of a cancer stem cell (CSC) using the HIF inhibitor.
摘要翻译：本发明涉及使用缺氧诱导因子（HIF抑制剂）治疗血液癌症。本发明还涉及使用HIF抑制剂诱导急性骨髓性白血病缓解。本发明还涉及使用HIF抑制剂抑制癌症干细胞（CSC）的维持或存活功能。

10. 发明授权

US09036303B2 Suspension with divided positive and negative write trace sections, and head gimbal assembly and disk drive unit with the same 有权
标题翻译：具有分开的正负写入跟踪部分的悬架，以及具有相同的头万向架组件和磁盘驱动器单元
公开(公告)号：US09036303B2
公开(公告)日：2015-05-19
申请号：US13548586
申请日：2012-07-13
申请人： Zhao yu Teng , Chong xi Song , Yun Zhang , Yan Liu , Xing hong Li , Ming bing Huang
发明人： Zhao yu Teng , Chong xi Song , Yun Zhang , Yan Liu , Xing hong Li , Ming bing Huang
IPC分类号： G11B5/48 , H05K1/02
CPC分类号： H05K1/0248 , G11B5/484 , G11B5/4853 , G11B5/486 , H05K1/0245 , H05K2201/09245 , H05K2201/097
摘要： A suspension includes a positive write trace and a negative write trace. The positive write trace is separated into at least two positive write trace sections located at two different layers respectively, and the negative write trace is separated into at least two negative write trace sections located at two different layers respectively. Each positive write trace section and each negative write trace section are alternately arranged along a longitudinal direction on two different layers, and the positive write trace sections at different layers are connected together via conductive crossovers, and the negative write trace sections are connected together via conductive crossovers. The present invention can obtain balanced propagation time in the stacked trace structure to reduce signal distortion, and obtain widened frequency bandwidth.
摘要翻译：暂停包括正写入跟踪和负写入跟踪。正写入迹线分成至少两个位于两个不同层的正写入跟踪部分，负写入跟踪分别分成位于两个不同层的至少两个负写入跟踪部分。每个正写入跟踪部分和每个负写入跟踪部分沿着两个不同层的纵向方向交替布置，并且不同层的正写入跟踪部分经由导电交叉连接在一起，并且负写入跟踪部分通过导电连接在一起交叉本发明可以在堆叠的轨迹结构中获得平衡的传播时间，以减少信号失真，并获得加宽的频率带宽。

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