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公开(公告)号：US09947314B2
公开(公告)日：2018-04-17
申请号：US15437490
申请日：2017-02-21
Applicant: International Business Machines Corporation
Inventor： Liangliang Cao , James J. Fan , Chang Wang , Bing Xiang , Bowen Zhou
IPC: G06F17/27 , G06F17/21 , G10L15/00 , G10L15/06 , G06F17/28 , G10L15/16 , G10L15/18 , G06F17/24 , G06N3/08 , G06N3/04
CPC classification number: G10L15/063 , G06F17/241 , G06F17/28 , G06F17/3069 , G06N3/04 , G06N3/08 , G06N3/084 , G06N3/088 , G06N5/022 , G06N99/005 , G10L15/16 , G10L15/18
Abstract: Software that trains an artificial neural network for generating vector representations for natural language text, by performing the following steps: (i) receiving, by one or more processors, a set of natural language text; (ii) generating, by one or more processors, a set of first metadata for the set of natural language text, where the first metadata is generated using supervised learning method(s); (iii) generating, by one or more processors, a set of second metadata for the set of natural language text, where the second metadata is generated using unsupervised learning method(s); and (iv) training, by one or more processors, an artificial neural network adapted to generate vector representations for natural language text, where the training is based, at least in part, on the received natural language text, the generated set of first metadata, and the generated set of second metadata.
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公开(公告)号：US09626107B2
公开(公告)日：2017-04-18
申请号：US14967417
申请日：2015-12-14
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Liangliang Cao , Liana L. Fong , Wei Tan
CPC classification number: G06T1/60 , G06F3/0601 , G06F3/0604 , G06F3/0659 , G06F3/0673 , G06F8/441 , G06F8/443 , G06F8/453 , G06F12/0813 , G06F12/0875 , G06F12/0877 , G06F13/16 , G06F17/16 , G06F2212/1024 , G06F2212/302 , G06F2212/454 , G06F2212/455 , G06F2212/60 , G06F2212/656 , H03M13/6566
Abstract: Embodiments include method, systems and computer program products for performing memory-aware matrix factorization on a graphics processing unit. Aspects include determining one or more types of memory on the graphics processing unit and determining one or more characteristics of each of the one or more types of memory. Aspects also include assigning each of a plurality of memory accesses of a matrix factorization algorithm to one of the one or more types of memory based on the one or more characteristics and executing the matrix factorization algorithm on the graphics processing unit.
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公开(公告)号：US09292766B2
公开(公告)日：2016-03-22
申请号：US13969783
申请日：2013-08-19
Applicant: International Business Machines Corporation
Inventor： Liangliang Cao , Noel C. F. Codella , Gang Hua , John R. Smith
CPC classification number: G06K9/6256 , G06K9/00657
Abstract: Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers.
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4.发明授权公开(公告)号：US09251434B2
公开(公告)日：2016-02-02
申请号：US13788433
申请日：2013-03-07
Applicant: International Business Machines Corporation
Inventor： Liangliang Cao , Noel C. F. Codella , Gang Hua , Gong Leiguang , Apostol I. Natsev , John R. Smith
CPC classification number: G06K9/6202 , G06K9/0063 , G06K9/00684 , G06K9/6263 , G06K9/6288
Abstract: Techniques for spatial semantic attribute matching on image regions for location identification based on a reference dataset are provided. In one aspect, a method for matching images from heterogeneous sources is provided. The method includes the steps of: (a) parsing the images into different semantic labeled regions; (b) creating a list of potential matches by matching the images based on two or more of the images having same semantic labeled regions; and (c) pruning the list of potential matches created in step (b) by taking into consideration spatial arrangements of the semantic labeled regions in the images.
Abstract translation: 提供了基于参考数据集的用于位置识别的图像区域上的空间语义属性匹配技术。 一方面，提供了一种用于匹配来自异构源的图像的方法。 该方法包括以下步骤：（a）将图像解析成不同的语义标记区域; （b）通过基于具有相同语义标记区域的两个或多个图像匹配图像来创建潜在匹配列表; 和（c）通过考虑图像中的语义标记区域的空间排列来修剪在步骤（b）中创建的潜在匹配的列表。
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公开(公告)号：US09251433B2
公开(公告)日：2016-02-02
申请号：US13710392
申请日：2012-12-10
Applicant: International Business Machines Corporation
Inventor： Liangliang Cao , Noel C. F. Codella , Gang Hua , Gong Leiguang , Apostol I. Natsev , John R. Smith
CPC classification number: G06K9/6202 , G06K9/0063 , G06K9/00684 , G06K9/6263 , G06K9/6288
Abstract: Techniques for spatial semantic attribute matching on image regions for location identification based on a reference dataset are provided. In one aspect, a method for matching images from heterogeneous sources is provided. The method includes the steps of: (a) parsing the images into different semantic labeled regions; (b) creating a list of potential matches by matching the images based on two or more of the images having same semantic labeled regions; and (c) pruning the list of potential matches created in step (b) by taking into consideration spatial arrangements of the semantic labeled regions in the images.
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Patent Agency Ranking
公开(公告)号：US20140205189A1
公开(公告)日：2014-07-24
申请号：US13969783
申请日：2013-08-19
Applicant: International Business Machines Corporation
Inventor： Liangliang Cao , Noel C.F. Codella , Gang Hua , John R. Smith
IPC: G06K9/62
CPC classification number: G06K9/6256 , G06K9/00657
Abstract: Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers.
Abstract translation: 提供了用于生成交叉模态语义分类器的技术，并使用数字高程对地面照片地理位置使用这些交叉模式语义分类器。 一方面，提供了一种用于产生交叉模态语义分类器的方法。 该方法包括以下步骤：（a）使用地理信息服务（GIS）数据标记卫星图像; （b）使用标有GIS数据的卫星图像作为训练数据，生成卫星模式的语义分类器; （c）使用GIS数据标记全球定位系统（GPS）标记的地面照片; （d）使用标记有GIS数据的GPS标记的地面级照片作为训练数据，以生成用于地平面照片模式的语义分类器，其中用于卫星模态和地面照度模式的语义分类器是交叉模式语义分类器 。
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公开(公告)号：US20140161362A1
公开(公告)日：2014-06-12
申请号：US13710392
申请日：2012-12-10
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Liangliang Cao , Noel C.F. Codella , Gang Hua , Gong Leiguang , Apostol I. Natsev , John R. Smith
IPC: G06K9/00
CPC classification number: G06K9/6202 , G06K9/0063 , G06K9/00684 , G06K9/6263 , G06K9/6288
Abstract: Techniques for spatial semantic attribute matching on image regions for location identification based on a reference dataset are provided. In one aspect, a method for matching images from heterogeneous sources is provided. The method includes the steps of: (a) parsing the images into different semantic labeled regions; (b) creating a list of potential matches by matching the images based on two or more of the images having same semantic labeled regions; and (c) pruning the list of potential matches created in step (b) by taking into consideration spatial arrangements of the semantic labeled regions in the images.
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8.发明申请公开(公告)号：US20140161360A1
公开(公告)日：2014-06-12
申请号：US13788433
申请日：2013-03-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Liangliang Cao , Noel C.F. Codella , Gang Hua , Gong Leiguang , Apostol I. Natsev , John R. Smith
IPC: G06K9/62
CPC classification number: G06K9/6202 , G06K9/0063 , G06K9/00684 , G06K9/6263 , G06K9/6288
Abstract: Techniques for spatial semantic attribute matching on image regions for location identification based on a reference dataset are provided. In one aspect, a method for matching images from heterogeneous sources is provided. The method includes the steps of: (a) parsing the images into different semantic labeled regions; (b) creating a list of potential matches by matching the images based on two or more of the images having same semantic labeled regions; and (c) pruning the list of potential matches created in step (b) by taking into consideration spatial arrangements of the semantic labeled regions in the images.
Abstract translation: 提供了基于参考数据集的用于位置识别的图像区域上的空间语义属性匹配技术。 一方面，提供了一种用于匹配来自异构源的图像的方法。 该方法包括以下步骤：（a）将图像解析成不同的语义标记区域; （b）通过基于具有相同语义标记区域的两个或多个图像匹配图像来创建潜在匹配列表; 和（c）通过考虑图像中的语义标记区域的空间排列来修剪在步骤（b）中创建的潜在匹配的列表。
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公开(公告)号：US09947074B2
公开(公告)日：2018-04-17
申请号：US15431990
申请日：2017-02-14
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Liangliang Cao , Liana L. Fong , Wei Tan
CPC classification number: G06T1/60 , G06F3/0601 , G06F3/0604 , G06F3/0659 , G06F3/0673 , G06F8/441 , G06F8/443 , G06F8/453 , G06F12/0813 , G06F12/0875 , G06F12/0877 , G06F13/16 , G06F17/16 , G06F2212/1024 , G06F2212/302 , G06F2212/454 , G06F2212/455 , G06F2212/60 , G06F2212/656 , H03M13/6566
Abstract: Embodiments include method, systems and computer program products for performing memory-aware matrix factorization on a graphics processing unit. Aspects include determining one or more types of memory on the graphics processing unit and determining one or more characteristics of each of the one or more types of memory. Aspects also include assigning each of a plurality of memory accesses of a matrix factorization algorithm to one of the one or more types of memory based on the one or more characteristics and executing the matrix factorization algorithm on the graphics processing unit.
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公开(公告)号：US20170236058A1
公开(公告)日：2017-08-17
申请号：US15584771
申请日：2017-05-02
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Liangliang Cao , Ning Duan , Qian Lin , Chen Wang , Junchi Yan , Xin Zhang
Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based an feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.
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