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1. 发明公开

CN112633266A 染色体簇分割方法、系统和存储介质无效
公开(公告)号：CN112633266A
公开(公告)日：2021-04-09
申请号：CN202011345784.3
申请日：2020-11-26
申请人：华南师范大学
发明人：赵淦森 , 林成创 , 彭璟 , 吴清蓝 , 李壮伟 , 黄润桦 , 唐华 , 张奇之 , 杨晋吉 , 罗浩宇 , 李双印 , 樊小毛 , 易序晟 , 陈少洁
IPC分类号： G06K9/0014 , G06K9/342 , G06K9/6256 , G16B15/00
摘要：本发明公开了一种染色体簇分割方法、系统和存储介质，方法包括：获取第一染色体簇图像和与所述第一染色体簇图像对应的第一标注掩码；对第一染色体簇图像和第一标注掩码进行数量増广，得到増广后的若干张染色体簇图像以及与若干张染色体簇图像对应的标注掩码；将第一染色体簇图像、第一标注掩码、増广后的若干张染色体簇图像以及与若干张染色体簇图像对应的标注掩码作为第一训练集；通过预先获取的第二训练集和第一训练集依次对分割模型进行训练；获取第二染色体簇图像；通过训练后的分割模型对第二染色体簇图像进行分割，得到染色体簇分割结果。本发明无需标注大量的训练数据，即能有效提高分割效果。本发明可应用于染色体处理技术领域。

2. 发明授权

US08494979B2 Detection of unknown scenarios 失效
标题翻译：检测未知方案
公开(公告)号：US08494979B2
公开(公告)日：2013-07-23
申请号：US12504072
申请日：2009-07-16
申请人： Birgit Baum-Waidner
发明人： Birgit Baum-Waidner
IPC分类号： G06K9/6256 , G06Q50/265
CPC分类号： G06Q40/08 , G06Q10/10
摘要： The present invention provides methods, systems and apparatus for detecting unknown scenarios in a data processing system. An example method includes the steps of: providing known scenario data describing one or more known scenarios in a database; generating element data depending on the known scenario data to form a set of elements, wherein each element is related to at least an actor and the behavior of the actor; computing subsets of elements by combining at least some of the elements of the set in dependence on their corresponding behavior; generating new scenario data related to new scenarios depending on the subsets of elements; and comparing the known scenario data with the new scenario data in order to identify the unknown scenarios.
摘要翻译：本发明提供用于检测数据处理系统中的未知情景的方法，系统和装置。示例性方法包括以下步骤：提供描述数据库中的一个或多个已知场景的已知场景数据; 根据已知的情景数据生成元素数据以形成一组元素，其中每个元素至少与演员和演员的行为相关; 通过根据其对应的行为组合集合的至少一些元素来计算元素的子集; 根据元素的子集生成与新情景相关的新情景数据; 以及将已知的场景数据与新的场景数据进行比较，以便识别未知场景。

3. 发明授权

US08515212B1 Image relevance model 有权
公开(公告)号：US08515212B1
公开(公告)日：2013-08-20
申请号：US12505287
申请日：2009-07-17
申请人： Samy Bengio , Erik Murphy-Chutorian , Yangli Hector Yee , Charles Rosenberg
发明人： Samy Bengio , Erik Murphy-Chutorian , Yangli Hector Yee , Charles Rosenberg
IPC分类号： G06F17/30268 , G06K9/66 , G06K9/6256 , G06F17/30265 , G06F17/30244 , G06F17/30247
CPC分类号： G06F17/30256 , G06F17/30271 , G06K9/6223 , G06K9/6262
摘要： Methods, systems, and apparatus, including computer program products, for identifying images relevant to a query are disclosed. An image search subsystem selects images to reference in image search results that are responsive to a query based on an image relevance model that is trained for the query. An independent image relevance model is trained for each unique query that is identified by the image search subsystem. The image relevance models can be applied to images to order image search results obtained for the query. Each relevance model is trained based on content feature values of images that are identified as being relevant to the query (e.g., frequently selected from the image search results) and images that are identified as being relevant to another unique query. The trained model is applied to the content feature values of all known images to generate an image relevance score that can be used to order search results for the query.

4. 发明申请

WO2022240848A1 MACHINE LEARNING BASED CLASSIFICATION AND ANNOTATION OF PARAGRAPH OF RESUME DOCUMENT IMAGES BASED ON VISUAL PROPERTIES OF THE RESUME DOCUMENT IMAGES, AND METHODS AND APPARATUS FOR THE SAME 审中-公开
公开(公告)号：WO2022240848A1
公开(公告)日：2022-11-17
申请号：PCT/US2022/028548
申请日：2022-05-10
申请人： ICIMS, INC.
发明人： O'GORMAN, Eoin , MIHAI, Adrian
IPC分类号： G06K9/62 , G06F40/103 , G06F40/169 , G06F40/197 , G06K9/6256 , G06K9/6262 , G06N20/00 , G06N3/08 , G06Q10/1053 , G06V2201/13 , G06V30/414
摘要： In some embodiments, a method can include generating a resume document image having a standardized format, based on a resume document having a set of paragraphs. The method can further include executing a statistical model to generate an annotated resume document image from the resume document image. The annotated resume document image can indicate a bounding box and a paragraph type, for a paragraph from a set of paragraphs of the annotated resume document image. The method can further include identifying a block of text in the resume document corresponding to the paragraph of the annotated resume document image. The method can further include extracting the block of text from the resume document and associating the paragraph type to the block of text.

5. 发明申请

WO2022226258A2 CAUSAL RELATIONAL ARTIFICIAL INTELLIGENCE AND RISK FRAMEWORK FOR MANUFACTURING APPLICATIONS 审中-公开
公开(公告)号：WO2022226258A2
公开(公告)日：2022-10-27
申请号：PCT/US2022/025869
申请日：2022-04-22
申请人： BATTELLE MEMORIAL INSTITUTE
发明人： BELLAY, Jeremy , DEFORTE, Shelly , DARBY, Nicholas , WICKEY, Kurtis
IPC分类号： G05B13/02 , G05B13/027 , G05B19/4184 , G05B19/41875 , G05B2219/33296 , G06K9/6224 , G06K9/6256
摘要： In an approach to CRAI and risk framework for manufacturing applications, there is thus provided a computer-implemented method for causal effect prediction, the computer-implemented method including: identifying, by one or more computer processors, an intervention, wherein the intervention is selected from the group consisting of threats, failures, corrections, and relevant outputs; collecting, by the one or more computer processors, process dependency data; creating, by the one or more computer processors, an intervention model; combining, by the one or more computer processors, the process dependency data and the intervention model to create a combined process dependency graph; training, by the one or more computer processors, a causal relational artificial intelligence (CRAI) model; and determining, by the one or more computer processors, an estimate of an intervention efficacy.

6. 发明申请

WO2022072181A1 MULTIMODALITY IMAGE PROCESSING TECHNIQUES FOR TRAINING IMAGE DATA GENERATION AND USAGE THEREOF FOR DEVELOPING MONO-MODALITY IMAGE INFERENCING MODELS 审中-公开
公开(公告)号：WO2022072181A1
公开(公告)日：2022-04-07
申请号：PCT/US2021/051337
申请日：2021-09-21
申请人： GE PRECISION HEALTHCARE LLC [US]/[US]
发明人： TAN, Tao , AVINASH, Gopal B. , FEJES, Máté , SONI, Ravi , SZABO, Dániel Attila , MULLICK, Rakesh , MELAPUDI, Vikram , SHRIRAM, Krishna Seetharam , RANJAN, Sohan Rashmi , DAS, Bipul , AGRAWAL, Utkarsh , RUSKO, László , HERCZEG, Zita , DARAZS, Barbara
IPC分类号： G06T15/10 , A61B5/055 , A61B5/7267 , A61B6/032 , A61B6/5223 , G06K9/6215 , G06K9/6255 , G06K9/6256 , G06K9/6263 , G06N5/04 , G06T2200/04 , G06T2207/10081 , G06T2207/10116 , G06T2207/20081 , G06T2207/20084 , G06T2207/20212 , G06T2207/30004 , G06T2210/41 , G06T5/50 , G06T7/30 , G06V2201/03 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/50
摘要： Techniques are described for generating mono-modality training image data from multi-modality image data and using the mono-modality training image data to train and develop mono-modality image inferencing models. A method embodiment comprises generating, by a system comprising a processor, a synthetic 2D image from a 3D image of a first capture modality, wherein the synthetic 2D image corresponds to a 2D version of the 3D image in a second capture modality, and wherein the 3D image and the synthetic 2D image depict a same anatomical region of a same patient. The method further comprises transferring, by the system, ground truth data for the 3D image to the synthetic 2D image. In some embodiments, the method further comprises employing the synthetic 2D image to facilitate transfer of the ground truth data to a native 2D image captured of the same anatomical region of the same patient using the second capture modality.

7. 发明申请

WO2022013866A1 SYSTEM AND METHOD OF SEGMENTING FREE SPACE BASED ON ELECTROMAGNETIC WAVES 审中-公开
公开(公告)号：WO2022013866A1
公开(公告)日：2022-01-20
申请号：PCT/IL2021/050855
申请日：2021-07-12
申请人： WISENSE TECHNOLOGIES LTD.
发明人： ORR, Itai , COHEN, Moshik Moshe
IPC分类号： G01S13/86 , G05D1/02 , G06K9/00 , G01S7/48 , G06K9/62 , G06K9/6256 , G06T2207/10036 , G06T7/12 , G06V20/13 , G06V20/194 , G06V20/58 , G06V20/588
摘要： A method and system for segmenting free space area, in real-time, based on data from an electromagnetic device may include: an image acquisition device adapted to capture an image of a scene; an electromagnetic device adapted to produce data corresponding to the scene; a non- transitory memory device, wherein modules of instruction code may be stored; and a processor, associated with the memory device, and configured to execute the modules of instruction code. Upon execution of said modules of instruction code, the processor may be configured to train a module to perceive elements in a scene.

8. 发明申请

WO2022010862A1 AUTOMATION SYSTEM AND METHOD 审中-公开
公开(公告)号：WO2022010862A1
公开(公告)日：2022-01-13
申请号：PCT/US2021/040465
申请日：2021-07-06
申请人： GROKIT DATA, INC.
发明人： PAQUIN, Anthony J. , HARDING, James A. , THIBAULT, Scott , BOATMAN, Jason A.
IPC分类号： G06F16/00 , G06N20/00 , G06F11/3612 , G06F11/3616 , G06F16/80 , G06F16/84 , G06F16/951 , G06F16/955 , G06F16/9577 , G06F16/958 , G06F16/986 , G06F3/0481 , G06F40/14 , G06F9/4806 , G06F9/4843 , G06F9/5066 , G06K9/6256 , G06N5/027 , G06Q10/04 , G06Q10/06315 , G06Q10/06375 , G06Q10/067 , G06Q10/0833 , G06Q10/0838 , G06Q10/10 , G06Q30/0201 , G06Q30/0282 , G06Q30/04 , G06Q30/0641
摘要： A computer-implemented method, computer program product and computing system for identifying one or more interactions with one or more portions of a website structure of a specific website; and associating the one or more interactions with the one or more portions of the website structure with one or more functions of the specific website to define a specific function description model corresponding to the specific website.

9. 发明申请

WO2022006461A1 ORCHESTRATION TECHNIQUES FOR ADAPTIVE TRANSACTION PROCESSING 审中-公开
公开(公告)号：WO2022006461A1
公开(公告)日：2022-01-06
申请号：PCT/US2021/040190
申请日：2021-07-01
申请人： GIANT OAK, INC. , CONSILIENT, INC. , SHIFFMAN, Gary , SHAPIRO, Jacob
发明人： SHIFFMAN, Gary , SHAPIRO, Jacob
IPC分类号： G06Q20/00 , G06K9/6256 , G06Q20/3821 , G06Q20/4016 , G06Q20/409
摘要： Systems and techniques are described for orchestrating iterative updates to machine learning models (e.g., transaction models) deployed to multiple end-user devices. In some implementations, output data generated by a first transaction model deployed at a first end-user device is obtained. The first transaction model is trained to apply a set of evidence factors to identify potentially anomalous activity associated with a first target entity. An adjustment for a second transaction model deployed at a second end-user device is determined. The second transaction model is trained to apply the set of evidence factors to identify potentially anomalous activity associated with a second target entity determined to be similar to the first target entity. A model update for the second transaction model is generated. The model update specifies a change to the second transaction model. The model update is provided for output to the second end-user device.

10. 发明申请

WO2022002964A1 HIGH-RESOLUTION CONTROLLABLE FACE AGING WITH SPATIALLY-AWARE CONDITIONAL GANS 审中-公开
公开(公告)号：WO2022002964A1
公开(公告)日：2022-01-06
申请号：PCT/EP2021/067890
申请日：2021-06-29
申请人： L'ORÉAL
发明人： DESPOIS, Julien , FLAMENT, Frédéric , PERROT, Matthieu
IPC分类号： G06K9/00 , G06K9/62 , G06K9/46 , G06T7/00 , A45D44/005 , G06K9/6256 , G06K9/6261 , G06K9/6271 , G06N3/0454 , G06N3/088 , G06Q30/0631 , G06Q30/0643 , G06T11/00 , G06T2207/20081 , G06T2207/20084 , G06T2207/30088 , G06T2207/30201 , G06T7/0012 , G06V10/454 , G06V10/50 , G06V10/82 , G06V40/171
摘要： There are provided computing devices and methods, etc. to controllably transform an image of a face, including a high resolution image, to simulate continuous aging. Ethnicity-specific aging information and weak spatial supervision are used to guide the aging process defined through training a model comprising a GANs based generator. Aging maps present the ethnicity-specific aging information as skin sign scores or apparent age values. The scores are located in the map in association with a respective location of the skin sign zone of the face associated with the skin sign. Patch-based training, particularly in association with location information to differentiate similar patches from different parts of the face, is used to train on high resolution images while minimize resource usage.

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