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公开(公告)号：US11704785B2
公开(公告)日：2023-07-18
申请号：US17889801
申请日：2022-08-17
申请人： SAS Institute Inc.
IPC分类号： G06K9/00 , G06T7/00 , G06F16/81 , G06F16/93 , G06F40/284 , G06F40/186 , G06F40/169 , G06F3/04842 , G06V10/40 , G06K9/62 , G06V30/10 , G06V30/24 , G06V30/418
CPC分类号： G06T7/0002 , G06F3/04842 , G06F16/81 , G06F16/93 , G06F40/169 , G06F40/186 , G06F40/284 , G06V10/40 , G06K9/6253 , G06K9/6276 , G06T2207/30168 , G06T2207/30176 , G06V30/10 , G06V30/248 , G06V30/418
摘要： Embodiments are directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Some embodiments utilize breakpoints to enable the system to match different documents with internal variations to a common template. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database.
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公开(公告)号：US20190217340A1
公开(公告)日：2019-07-18
申请号：US15871526
申请日：2018-01-15
CPC分类号： G06T7/0002 , B07C5/12 , B07C5/342 , B65G47/49 , B65G47/68 , G05B23/0254 , G06K9/3241 , G06K9/4671 , G06K9/6267 , G06K9/6276 , G06N3/08 , G06T7/0004 , G06T7/001 , G06T7/70 , G06T7/74 , G06T2207/20084 , G06T2207/30164
摘要： According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.
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3.发明申请公开(公告)号：US20180327817A1
公开(公告)日：2018-11-15
申请号：US15978333
申请日：2018-05-14
申请人： Rheonix, Inc.
发明人： F. Morgan Wallace
IPC分类号： C12Q1/689 , C12Q1/04 , C12Q1/6874 , C12Q1/6837 , G06K9/62
CPC分类号： C12Q1/689 , C12Q1/04 , C12Q1/6816 , C12Q1/6827 , C12Q1/6837 , C12Q1/6874 , C12Q2600/156 , G06K9/6227 , G06K9/6255 , G06K9/6276 , G06K9/6292 , C12Q2565/50
摘要： A system and method for strain typing without need for isolation in pure form and subsequent longitudinal strain tracking. The method includes the steps of locating one or more genetic regions present in a target. The genetic regions contain genetic loci that vary among two or more variants (i.e., strains) of the target. A device detects a unique sequence of each of the genetic loci. After a sample of biological material having the genetic loci is obtained, the device generates an amplicon for the genetic regions present in the target. The amplicons are hybridized to complimentary probes, resulting in hybridized probes and non-hybridized probes, which are detected. The detected hybridized probes are assigned an identifier. The device transforms the identifiers into a pattern. The pattern is recorded and compared to one or more other patterns recorded to determine if the pattern is different from the one or more other patterns.
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公开(公告)号：US20180276821A1
公开(公告)日：2018-09-27
申请号：US15989457
申请日：2018-05-25
发明人： Liang Lin , Qingxing Cao , Qing Wang , Bo Jiang
IPC分类号： G06T7/00 , G06K9/32 , G06K9/62 , G06T7/62 , G06T7/70 , G06K9/46 , G06K9/34 , A61B8/08 , A61B8/00
CPC分类号： G06T7/0014 , A61B8/085 , A61B8/469 , A61B8/481 , A61B8/5223 , G06K9/3233 , G06K9/3241 , G06K9/346 , G06K9/4604 , G06K9/4671 , G06K9/6227 , G06K9/6257 , G06K9/6276 , G06K9/6289 , G06K2209/05 , G06T7/0016 , G06T7/62 , G06T7/70 , G06T2207/10132 , G06T2207/20072 , G06T2207/20076 , G06T2207/20081 , G06T2207/30056 , G06T2207/30096
摘要： The disclosure relates to a method for automatically recognizing liver tumor types in ultrasound images. The method specifically comprises: using a plurality of Regions of Interest (ROIs) to represent a CEUS image; different lesions are distinguished by the performance and changes of the ROI in time and space; representing a space-time relationship between ROIs by establishing a model in time and space at the same time; and determining, by the model, a relatively appropriate ROI and relevant parameters of the model according to existing CEUS lesion samples by means of an iterative learning method. After giving a sample, an appropriate ROI can be determined and a reference diagnosis for the lesion can be given by removing part of inappropriate ROIs in advance and by means of a rapid search method.
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公开(公告)号：US10084941B2
公开(公告)日：2018-09-25
申请号：US15307349
申请日：2014-04-30
CPC分类号： H04N1/6008 , G06K9/6276 , G06K9/723 , H04N1/60
摘要： A system including a memory to store instructions and initial color representations and a processor to execute the instructions in the memory to reference a database having a set of lexical color classifiers, transform each of at least a pair of initial color representations to color values associated with the set of lexical color classifiers, and generate a relative similarity measure related to the at least a pair of initial color representations based on the color values associated with the set of lexical color classifiers.
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公开(公告)号：US20180253628A1
公开(公告)日：2018-09-06
申请号：US15759302
申请日：2015-09-16
申请人： NEC Corporation
IPC分类号： G06K9/62
CPC分类号： G06K9/6245 , G06K9/622 , G06K9/6232 , G06K9/6276 , G06K9/6277 , G06K9/6278 , G10L17/02 , G10L17/04
摘要： The A pattern recognition apparatus using domain adaptation 10 comprises an estimation unit 11. The estimation unit 11 estimates PLDA (Probabilistic Linear Discriminant Analysis) parameters and transformation parameters from features of a first domain data and a second domain data so as to maximize/minimize an objective function with respect to the features.
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公开(公告)号：US20180247414A1
公开(公告)日：2018-08-30
申请号：US15758351
申请日：2016-09-08
发明人： Alexey NOVIKOV , David MAJOR , Maria WIMMER , Katja BUEHLER
CPC分类号： G06T7/12 , G06K9/6276 , G06T7/11 , G06T7/143 , G06T7/155 , G06T2207/10081 , G06T2207/20012 , G06T2207/20076 , G06T2207/20081 , G06T2207/20116 , G06T2207/30101
摘要： A method, and an according apparatus and system, for analyzing medical images of blood vessels includes the steps of a) classifying a surrounding of at least one vessel represented in at least one medical image by applying a first classifier to the medical image such that the surrounding of the vessel is assigned to one of at least two surrounding classes, and b) segmentation of the at least one vessel dependent on the surrounding class to which the surrounding of the vessel has been assigned. The invention allows for a reliable segmentation and/or shape detection, in particular bifurcation detection, of blood vessels represented in medical images.
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公开(公告)号：US20180225553A1
公开(公告)日：2018-08-09
申请号：US15943279
申请日：2018-04-02
申请人： NAVER Corporation
发明人： Jung Woo Ha , Hyuna Pyo , Jeong Hee Kim
CPC分类号： G06K9/6277 , G06F16/355 , G06F17/27 , G06F17/2745 , G06K9/6269 , G06K9/6274 , G06K9/6276 , G06N3/0445 , G06N3/0454 , G06N3/08 , G06N5/046 , G06Q10/067 , G06Q30/0201 , G06Q30/0282
摘要： Disclosed are a method and a system for automatically classifying data expressed as a plurality of factors with values of a text word and a symbol sequence by using deep learning. The method comprises the steps of: inputting the data expressed by the plurality of factors so as to express a word vector including sequence information of the factors through sequence learning of words corresponding to the factors with respect to each factor constituting the data in a first model; inputting an output of the first model so as to calculate points of each category for classifying the categories of the data by using the word vector including the sequence information of the factor in a second model; and determining at least one category for the data by using the points of each category.
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公开(公告)号：US20180218207A1
公开(公告)日：2018-08-02
申请号：US15937051
申请日：2018-03-27
发明人： Songtao Guo , Christopher Matthew Degiere , Jingjing Huang , Aarti Kumar , Alex Ching Lai , Xian Li
IPC分类号： G06K9/00 , H04L29/08 , G06F17/30 , G06Q50/00 , G06Q10/10 , G06Q10/06 , G06N99/00 , G06N7/02 , G06K9/62
CPC分类号： G06K9/00456 , G06F17/30256 , G06F17/30259 , G06F17/30265 , G06F17/30448 , G06F17/30466 , G06F17/30598 , G06F17/30864 , G06F17/30958 , G06K9/00469 , G06K9/46 , G06K9/6215 , G06K9/6256 , G06K9/6263 , G06K9/6276 , G06K2209/25 , G06N7/02 , G06N99/005 , G06Q10/06393 , G06Q10/10 , G06Q50/01 , H04L67/10 , H04L67/306
摘要： In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a first plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted first plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo. In response to a particular image in the web page having a logo confidence score transgressing a first threshold, the particular image is injected into an organization logo field of the first record.
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公开(公告)号：US10002292B2
公开(公告)日：2018-06-19
申请号：US14929116
申请日：2015-10-30
发明人： Songtao Guo , Christopher Matthew Degiere , Jingjing Huang , Aarti Kumar , Alex Ching Lai , Xian Li
IPC分类号： G06K9/00 , G06N99/00 , G06F17/30 , G06Q10/10 , G06F17/27 , G06K9/62 , G06N7/02 , G06Q10/06 , G06Q50/00 , H04L29/08
CPC分类号： G06K9/00456 , G06F16/215 , G06F16/24534 , G06F16/24544 , G06F16/285 , G06F16/58 , G06F16/5838 , G06F16/5854 , G06F16/9024 , G06F16/951 , G06K9/00469 , G06K9/46 , G06K9/6215 , G06K9/6256 , G06K9/6263 , G06K9/6276 , G06K2209/25 , G06N5/003 , G06N7/005 , G06N7/02 , G06N20/00 , G06N20/20 , G06Q10/06393 , G06Q10/10 , G06Q50/01 , H04L67/10 , H04L67/306 , Y04S10/54
摘要： In an example embodiment, a web page is obtained using a web page address stored in a first record and is parsed to extract one or more images from the web page along with a second plurality of features for each of the one or more images from the web page. Information about each image of the web page and the extracted second plurality of features for the web page are input into a supervised machine learning classifier to calculate a logo confidence score for each image of the web page, the logo confidence score indicating the probability that the image is an organization logo. In response to a particular image in the web page having a logo confidence score transgressing a first threshold, the particular image is injected into an organization logo field of the first record.
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