Patents by Inventor Michele Merler

Michele Merler has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240256852
    Abstract: Standardizing a mention of an application component in a free-form text describing the technology stack of the application includes extracting the mention and encoding the mention with an embedding space encoder. The encoding creates an encoded representation of the mention in a multi-dimensional embedding space. The embedding space encoder implements a machine learning model trained using contrastive learning. The encoded representation of the mention is mapped to an encoded representation of an entity in the multi-dimensional embedding space, the entity extracted from a knowledge base of computer components. The entity whose encoded representation maps to the encoded representation of the mention can be output responsive to the mapping.
    Type: Application
    Filed: January 26, 2023
    Publication date: August 1, 2024
    Inventors: Jiaqing Yuan, Michele Merler, Mihir Choudhury, Venkata Nagaraju Pavuluri, Maja Vukovic
  • Publication number: 20240233067
    Abstract: Described are techniques for oblique image rectification. The techniques include receiving an original image depicting an oblique view of a circular object and pre-processing the original image into an edge image. The techniques further include generating, by a machine learning model based on the edge image, a heatmap including an ellipse formed by the oblique view of the circular object. The techniques further include computing ellipse parameters describing the ellipse of the heatmap. The techniques further include performing, using the ellipse parameters, an affine transformation on the original image to generate a rectified image, where the rectified image converts the ellipse to a circle.
    Type: Application
    Filed: October 24, 2022
    Publication date: July 11, 2024
    Inventors: Sebastien Gilbert, Michele Merler, Dhiraj Joshi, Apurv Gupta, Shyama Prosad Chowdhury, CHIDANSH AMITKUMAR BHATT, Nirmit V. Desai
  • Publication number: 20240177029
    Abstract: A method includes receiving a natural language problem statement corresponding to application modernization needs of a user, the natural language problem statement including at least one technical entity, business constraint and disposition information; providing structured information by extracting information from the natural language problem statement using a neural word segmentation method; generating standardized technical entities, standardized business entities, and standardized dispositions by inputting the structured information to at least one machine learning model; and generating at least one recommended disposition of at least one technical entity to a second technical entity based at least on a business constraint corresponding to the natural language problem statement using the standardized technical entities, business entities, and dispositions.
    Type: Application
    Filed: November 30, 2022
    Publication date: May 30, 2024
    Inventors: Anup KALIA, Mihir CHOUDHURY, Jin XIAO, Divya SANKAR, John ROFRANO, Venkata Nagaraju PAVULURI, Lambert POUGUEM WASSI, Maja VUKOVIC, Michele MERLER
  • Publication number: 20240144106
    Abstract: Machine learning classification using attribute-based calibration can include encoding a set of features extracted from computer-readable data associated with an object, the set of features describing one or more predetermined aspects of the object. A set of attribute predictions can be generated based on the set of features. The set of attribute predictions can be generated by a machine learning model that is capable of generating predictions for unseen attributes and that is trained using an attributes-level loss function. The attributes-level loss function can include an unseen attributes loss component that is computed only with respect unseen attributes. The set of attribute predications can be mapped to a set of predetermined attributes corresponding to one of a plurality of predetermined classes. An output of the machine learning classification is the classification of the object based on the mapping.
    Type: Application
    Filed: October 31, 2022
    Publication date: May 2, 2024
    Inventors: Michele Merler, Paul Pritz
  • Publication number: 20240135486
    Abstract: Described are techniques for oblique image rectification. The techniques include receiving an original image depicting an oblique view of a circular object and pre-processing the original image into an edge image. The techniques further include generating, by a machine learning model based on the edge image, a heatmap including an ellipse formed by the oblique view of the circular object. The techniques further include computing ellipse parameters describing the ellipse of the heatmap. The techniques further include performing, using the ellipse parameters, an affine transformation on the original image to generate a rectified image, where the rectified image converts the ellipse to a circle.
    Type: Application
    Filed: October 23, 2022
    Publication date: April 25, 2024
    Inventors: Sebastien Gilbert, Michele Merler, Dhiraj Joshi, Apurv Gupta, Shyama Prosad Chowdhury, CHIDANSH AMITKUMAR BHATT, Nirmit V. Desai
  • Publication number: 20240112444
    Abstract: Automated analog gauge reading is provided. The method comprises a computer system receiving input of an image and detecting at least one analog gauge in the image. The computer system corrects the orientation of the analog gauge in the image and detects scene text and tick labels on the analog gauge. The computer system determines a position of a pointer on the analog gauge relative to the scene text and outputs a gauge reading value based on an arithmetic progression of tick labels and angle of the pointer with respect to minimum and maximum values on the analog gauge.
    Type: Application
    Filed: September 29, 2022
    Publication date: April 4, 2024
    Inventors: Michele Merler, Dhiraj Joshi, Apurv Gupta, Sebastien Gilbert, Shyama Prosad Chowdhury, Chidansh Amitkumar Bhatt, Nirmit V. Desai
  • Publication number: 20240104369
    Abstract: A system may receive an existing base set of knowledge, train a neural network on the base set of knowledge, deploy the neural network on a new data set, generate, using the deployment, instances of new knowledge, and validate the instances of new knowledge.
    Type: Application
    Filed: September 26, 2022
    Publication date: March 28, 2024
    Inventors: Dinesh C. Verma, Franck Vinh Le, Michele Merler, Dhiraj Joshi, SUPRIYO CHAKRABORTY, Seraphin Bernard Calo
  • Patent number: 11941038
    Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm.
    Type: Grant
    Filed: May 19, 2022
    Date of Patent: March 26, 2024
    Assignee: International Business Machines Corporation
    Inventors: Raghu Kiran Ganti, Mudhakar Srivatsa, Shreeranjani Srirangamsridharan, Jae-Wook Ahn, Michele Merler, Dean Steuer
  • Patent number: 11830241
    Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.
    Type: Grant
    Filed: January 25, 2020
    Date of Patent: November 28, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen C. Hammer, John Joseph Kent, John R. Smith, Rogerio Feris
  • Publication number: 20230376518
    Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm.
    Type: Application
    Filed: May 19, 2022
    Publication date: November 23, 2023
    Inventors: RAGHU KIRAN GANTI, MUDHAKAR SRIVATSA, Shreeranjani Srirangamsridharan, Jae-Wook Ahn, Michele Merler, Dean Steuer
  • Publication number: 20230259716
    Abstract: A neural architecture search method, system, and computer program product that determines, by a computing device, a best fit language model of a plurality of language models that is a best fit for interpretation of a corpus of natural language and interprets, by the computing device, the corpus of natural language using the best fit language model.
    Type: Application
    Filed: February 14, 2022
    Publication date: August 17, 2023
    Inventors: Michele Merler, Aashka Trivedi, Rameswar Panda, Bishwaranjan Bhattacharjee, Taesun Moon, Avirup Sil
  • Publication number: 20220121924
    Abstract: An embodiment includes identifying an initial plurality of sets of hyperparameter values at which to evaluate an objective function that relates hyperparameter values to performance values of a neural network. The embodiment also executes training processes on the neural network with the hyperparameters set to the each of the initial sets of hyperparameter values such that the training process provides an initial set of the performance values for the objective function. The embodiment also generates an approximation of the objective function using splines at selected performance values. The embodiment approximates a point at which the approximation of the objective function reaches a maximum value, then determines an updated set of hyperparameter values associated with the maximum value. The embodiment then executes a runtime process using the neural network with the hyperparameters set to the updated set of hyperparameter values.
    Type: Application
    Filed: October 21, 2020
    Publication date: April 21, 2022
    Applicant: International Business Machines Corporation
    Inventors: Ulrich Alfons Finkler, Michele Merler, Mayoore Selvarasa Jaiswal, Hui Wu, Rameswar Panda, Wei Zhang
  • Patent number: 11170270
    Abstract: Techniques for content generation are provided. A plurality of discriminative terms is determined based at least in part on a first plurality of documents that are related to a first concept, and a plurality of positive exemplars and a plurality of negative exemplars are identified using the plurality of discriminative terms. A first machine learning (ML) model is trained to classify images into concepts, based on the plurality of positive exemplars and the plurality of negative exemplars. A second concept related to the first concept is then determined, based on the first ML model. A second ML model is trained to generate images based on the second concept, and a first image is generated using the second ML model. The first image is then refined using a style transfer ML model that was trained using a plurality of style images.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: November 9, 2021
    Assignee: International Business Machines Corporation
    Inventors: Michele Merler, Mauro Martino, Cicero Nogueira Dos Santos, Alfio Massimiliano Gliozzo, John R. Smith
  • Publication number: 20210117736
    Abstract: Techniques for content generation are provided. A plurality of discriminative terms is determined based at least in part on a first plurality of documents that are related to a first concept, and a plurality of positive exemplars and a plurality of negative exemplars are identified using the plurality of discriminative terms. A first machine learning (ML) model is trained to classify images into concepts, based on the plurality of positive exemplars and the plurality of negative exemplars. A second concept related to the first concept is then determined, based on the first ML model. A second ML model is trained to generate images based on the second concept, and a first image is generated using the second ML model. The first image is then refined using a style transfer ML model that was trained using a plurality of style images.
    Type: Application
    Filed: October 17, 2019
    Publication date: April 22, 2021
    Inventors: Michele Merler, Mauro Martino, Cicero NOGUEIRA DOS SANTOS, Alfio Massimiliano Gliozzo, John R. Smith
  • Publication number: 20200162799
    Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.
    Type: Application
    Filed: January 25, 2020
    Publication date: May 21, 2020
    Inventors: Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen C. Hammer, John Joseph Kent, John R. Smith, Rogerio Feris
  • Patent number: 10595101
    Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.
    Type: Grant
    Filed: March 15, 2018
    Date of Patent: March 17, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen C. Hammer, John Joseph Kent, John R. Smith, Rogerio Feris
  • Publication number: 20190289372
    Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.
    Type: Application
    Filed: March 15, 2018
    Publication date: September 19, 2019
    Inventors: Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen C. Hammer, John Joseph Kent, John R. Smith, Rogerio Feris
  • Patent number: 10282677
    Abstract: A method and system are provided. The method includes deriving a set of user attributes from an aggregate analysis of images and videos of a user. The deriving step includes recognizing, by a set of visual classifiers, semantic concepts in the images and videos of the user to generate visual classifier scores. The deriving step further includes deriving, by a statistical aggregator, the set of user attributes. The set of user attributes are derived by mapping the visual classifier scores to a taxonomy of semantic categories to be recognized in visual content. The deriving step also includes displaying, by an interactive user interface having a display, attribute profiles for the attributes and comparisons of the attribute profiles.
    Type: Grant
    Filed: November 5, 2015
    Date of Patent: May 7, 2019
    Assignee: International Business Machines Corporation
    Inventors: Michele Merler, Jae-Eun Park, John R. Smith, Rosario Uceda-Sosa
  • Patent number: 10102454
    Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.
    Type: Grant
    Filed: November 15, 2017
    Date of Patent: October 16, 2018
    Assignee: International Business Machines Corporation
    Inventors: Michele Merler, John R. Smith, Rosario A. Uceda-Sosa, Hui Wu
  • Publication number: 20180089540
    Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.
    Type: Application
    Filed: September 23, 2016
    Publication date: March 29, 2018
    Inventors: Michele Merler, John R. Smith, Rosario A. Uceda-Sosa, Hui Wu