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公开(公告)号:US11151410B2
公开(公告)日:2021-10-19
申请号:US16125153
申请日:2018-09-07
Applicant: International Business Machines Corporation
Inventor: Patrick Watson , Bishwaranjan Bhattacharjee , Siyu Huo , Noel C. Codella , Brian M. Belgodere , Parijat Dube , Michael R. Glass , John R. Kender , Matthew L. Hill
Abstract: A computer-implemented method for data labeling is provided. The computer-implemented method assigns pseudo-labels to unlabeled examples of data using a similarity metric on an embedding space to produce pseudo-labeled examples. A curriculum learning model is trained using the pseudo-labeled examples. The curriculum learning model trained with the pseudo-labeled examples is employed in in a fine-tuning task to enhance classification accuracy of the data.
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公开(公告)号:US11052023B2
公开(公告)日:2021-07-06
申请号:US15848169
申请日:2017-12-20
Applicant: International Business Machines Corporation
Inventor: Noel C. Codella , Jonathan H. Connell, II , Sharathchandra Pankanti , Nalini K. Ratha
IPC: A61J3/07 , G16H20/10 , A61K9/48 , A61K9/20 , G16H10/60 , A61B5/145 , A61B5/00 , A61B5/07 , A61M31/00 , G16H10/20
Abstract: A drug delivery device includes a capsule, a logic circuit disposed within the capsule, and an actuator connected to the logic circuit and configured to expose an interior of the capsule to an exterior of the capsule upon activation by the logic circuit.
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公开(公告)号:US20150227840A1
公开(公告)日:2015-08-13
申请号:US14693314
申请日:2015-04-22
Applicant: International Business Machines Corporation
Inventor: Noel C. Codella , Apostol Natsev , John R. Smith
CPC classification number: G06N5/04 , G06F17/30 , G06F17/30247 , G06F17/30265 , G06F17/30598 , G06K9/6267 , G06N7/005 , G06N99/005
Abstract: Techniques for detecting an event via social media content. A method includes obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple images; differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images; retrieving one or more images associated with the event semantic concept signal; grouping the one or more images associated with the event semantic concept signal; annotating the group of one or more images with user feedback; and displaying the annotated group of one or more images as a visual description of the detected event.
Abstract translation: 通过社交媒体内容检测事件的技术。 一种方法包括从至少一个社交媒体源获得多个图像; 从多个图像中提取至少一个视觉语义概念; 将事件语义概念信号与背景语义概念信号区分开来检测多个图像中的事件; 检索与事件语义概念信号相关联的一个或多个图像; 对与事件语义概念信号相关联的一个或多个图像进行分组; 用用户反馈注释一个或多个图像的组; 以及显示一个或多个图像的带注释的组作为检测到的事件的视觉描述。
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公开(公告)号:US20200082210A1
公开(公告)日:2020-03-12
申请号:US16125153
申请日:2018-09-07
Applicant: International Business Machines Corporation
Inventor: Patrick Watson , Bishwaranjan Bhattacharjee , Siyu Huo , Noel C. Codella , Brian M. Belgodere , Parijat Dube , Michael R. Glass , John R. Kender , Matthew L. Hill
Abstract: A computer-implemented method for data labeling is provided. The computer-implemented method assigns pseudo-labels to unlabeled examples of data using a similarity metric on an embedding space to produce pseudo-labeled examples. A curriculum learning model is trained using the pseudo-labeled examples. The curriculum learning model trained with the pseudo-labeled examples is employed in in a fine-tuning task to enhance classification accuracy of the data.
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公开(公告)号:US10032113B2
公开(公告)日:2018-07-24
申请号:US14693314
申请日:2015-04-22
Applicant: International Business Machines Corporation
Inventor: Noel C. Codella , Apostol Natsev , John R. Smith
Abstract: Techniques for detecting an event via social media content. A method includes obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple images; differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images; retrieving one or more images associated with the event semantic concept signal; grouping the one or more images associated with the event semantic concept signal; annotating the group of one or more images with user feedback; and displaying the annotated group of one or more images as a visual description of the detected event.
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公开(公告)号:US20160148389A1
公开(公告)日:2016-05-26
申请号:US15009101
申请日:2016-01-28
Applicant: International Business Machines Corporation
Inventor: Noel C. Codella , Gang Hua , John R. Smith
CPC classification number: G06T7/11 , G06K9/3241 , G06K9/46 , G06K9/4604 , G06K9/4652 , G06K9/468 , G06K9/6215 , G06K9/6218 , G06K2009/4666 , G06K2009/6213 , G06T7/187 , G06T7/90 , G06T2207/10016
Abstract: Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting an image containing a target object into multiple regions; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on information associated with the multiple segmented regions; and applying the similarity metric to the image to identify two or more of the multiple segmented regions as being portions of the target object.
Abstract translation: 本文提供了静态图像分割的方法,系统和计算机程序产品。 一种方法包括将包含目标对象的图像分割成多个区域; 分析包含所述目标对象的视频内容,以基于与所述多个分段区域相关联的信息来确定所述多个分割区域上的相似性度量; 以及将所述相似性度量应用于所述图像,以将所述多个分段区域中的两个或更多个标识为所述目标对象的部分。
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公开(公告)号:US20150055843A1
公开(公告)日:2015-02-26
申请号:US14012112
申请日:2013-08-28
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Noel C. Codella , John R. Smith
CPC classification number: G06T7/0014 , G06K9/621 , G06K2209/05 , G06T7/12 , G06T7/143 , G06T7/149 , G06T2207/30004
Abstract: Systems and articles of manufacture for image segmentation are provided herein, and include creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image.
Abstract translation: 本文提供了用于图像分割的系统和制品,并且包括从包括一个或多个成像模态的训练数据创建解剖模型,基于解剖模型和物理学的一个或多个原理在目标模态中生成一个或多个模拟图像 涉及图像对比度生成,以及将一个或多个模拟图像与给定成像模态的未标记输入图像进行比较,以确定一个或多个模拟图像的模拟图像以表示未标记的输入图像。
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公开(公告)号:US10568695B2
公开(公告)日:2020-02-25
申请号:US15275877
申请日:2016-09-26
Applicant: International Business Machines Corporation
Inventor: Noel C. Codella , Jonathan H. Connell , Sharathchandra Pankanti , Nalini K. Ratha
Abstract: Embodiments include methods, systems, and computer program products for treating skin lesions. Aspects include receiving an indication that a patient is oriented. Aspects also include acquiring data concerning an area of the patient, the area including a skin lesion. Aspects also include analyzing the data to distinguish between an affected region and an unaffected region of the area of the patient. Aspects also include excising the affected area.
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公开(公告)号:US20180107988A1
公开(公告)日:2018-04-19
申请号:US15295409
申请日:2016-10-17
Applicant: International Business Machines Corporation
Inventor: Noel C. Codella , Jonathan Lenchner
CPC classification number: G06Q10/1095 , G06N20/00 , G06Q10/06313
Abstract: Methods, systems, and computer program products for estimating the number of attendees in a meeting are provided herein. A computer-implemented method includes generating one or more event attendance models for individuals, wherein said generating comprises applying one or more machine learning techniques to a set of training data; computing a probability that each of the individuals will attend a given event by applying one or more of the generated attendance models to (i) an invitation for the given event and (ii) a communication attributed to each of the individuals in response to the invitation; estimating the number of the individuals that will attend the given event by combining the computed probabilities; and outputting the estimated number of the individuals that will attend the given event to at least one user.
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公开(公告)号:US09311716B2
公开(公告)日:2016-04-12
申请号:US14277321
申请日:2014-05-14
Applicant: International Business Machines Corporation
Inventor: Noel C. Codella , Gang Hua , John R. Smith
CPC classification number: G06T7/11 , G06K9/3241 , G06K9/46 , G06K9/4604 , G06K9/4652 , G06K9/468 , G06K9/6215 , G06K9/6218 , G06K2009/4666 , G06K2009/6213 , G06T7/187 , G06T7/90 , G06T2207/10016
Abstract: Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting a static image containing a target object into multiple regions based on one or more visual features of the static image; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on motion information associated with each of the multiple segmented regions; and applying the similarity metric to the static image to identify two or more of the multiple segmented regions as being portions of the target object.
Abstract translation: 本文提供了静态图像分割的方法,系统和计算机程序产品。 一种方法包括基于静态图像的一个或多个视觉特征将包含目标对象的静态图像分割成多个区域; 分析包含所述目标对象的视频内容,以基于与所述多个分段区域中的每一个相关联的运动信息来确定所述多个分段区域上的相似性度量; 以及将所述相似性度量应用于所述静态图像,以将所述多个分段区域中的两个或更多个标识为所述目标对象的部分。
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