公开(公告)号：US20230128637A1

公开(公告)日：2023-04-27

申请号：US17888138

申请日：2022-08-15

申请人： Samsung Electronics Co., Ltd.

发明人： Alexandros KOURIS ,  Stylianos I. Venieris ,  Stefanos Laskaridis ,  Ilias Leontiadis

IPC分类号： G06T7/12 ,  G06V10/70

摘要： Broadly speaking, the present techniques generally relate to a method for training a machine learning, ML, model to perform semantic image segmentation, and to a computer-implemented method and apparatus for performing semantic image segmentation using a trained machine learning, ML, model. The training method enables a semantic image segmentation ML model that is able to make predictions faster, without significant loss in accuracy. The training method also enables the ML model to be implemented on apparatus with different hardware specifications, i.e. different computational power and memory, for example.

公开(公告)号：US20230117307A1

公开(公告)日：2023-04-20

申请号：US17843590

申请日：2022-06-17

申请人： Samsung Electronics Co., Ltd.

发明人： Minyoung KIM ,  Timothy HOSPEDALES

IPC分类号： G06V10/776 ,  G06V10/82 ,  G06V10/70 ,  G06V10/774

摘要： The subject-matter of the present disclosure relates to a computer-implemented method of training a machine learning, ML, meta learner classifier model to perform few-shot image or speech classification, the method comprising: training the machine learning, ML, meta learner classifier model by: iteratively obtaining a support set and a query set of a current episode; adapting the model using the support set; measuring a performance of the adapted model using the query set; and updating the classifier based on the performance; wherein adapting the model using the support set comprises: deriving a Laplace approximated posterior using a linear classifier based on Gaussian mixture fitting; and deriving a predictive distribution using the approximated posterior; wherein measuring the performance of the adapted model using the query set comprises: determining a loss associated with the predictive distribution using the query set; and wherein updating the classifier based on the performance comprises minimising the loss.

公开(公告)号：US11630995B2

公开(公告)日：2023-04-18

申请号：US16012151

申请日：2018-06-19

申请人： Siemens Healthcare GmbH

发明人： Philipp Hoelzer ,  Sasa Grbic ,  Daguang Xu

IPC分类号： G06F18/2411 ,  G06N3/08 ,  G16H50/20 ,  G16H30/40 ,  G06N3/02 ,  G16H50/00 ,  G16H50/70 ,  G06V10/70 ,  G06F18/22 ,  G06F18/2415 ,  G06V10/772 ,  G06V10/778 ,  G06V10/94

摘要： The user is to be informed of the reliability of the machine-learned model based on the current input relative to the training data used to train the model or the model itself. In a medical situation, the data for a current patient is compared to the training data used to train a prediction model and/or to a decision function of the prediction model. The comparison indicates the training content relative to the current patient, so provides a user with information on the reliability of the prediction for the current situation. The indication deals with the variation of the data of the current patient from the training data or relative to the prediction model, allowing the user to see how well trained the predication model is relative to the current patient. This indication is in addition to any global confidence output through application of the prediction model to the data of the current patient.

公开(公告)号：US11625968B1

公开(公告)日：2023-04-11

申请号：US16120252

申请日：2018-09-01

申请人： Cummins-Allison Corp.

发明人： Tomasz M. Jagielinski ,  Mathew Tomor ,  Araz Yacoubian ,  David J. Mecklenburg ,  Danny D. Yang

IPC分类号： G07D5/08 ,  G07D3/14 ,  G07D3/00 ,  G07D11/22 ,  G06V10/147 ,  G07D9/00 ,  G07D3/12 ,  G06V10/70 ,  G06K7/08 ,  G06K7/10

摘要： Currency processing systems, coin processing machines, and methods of imaging coins are presented herein. A currency processing system is disclosed which includes a housing with a coin input area for receiving coins and coin receptacles for stowing processed coins. A disk-type coin processing unit is coupled to the coin input area and coin receptacles. The disk-type coin processing unit includes a rotatable disk for imparting motion to the coins, and a sorting head having a lower surface adjacent the rotatable disk. The lower surface forms various shaped regions for guiding the coins, under the motion imparted by the rotatable disk, to exit channels through which the coins are discharged to the coin receptacles. A linear array of sensors is mounted to the sorting head and/or the rotatable disk. The sensors examine each coin on the rotatable disk and output a signal indicative of coin image information for processing the coin.

公开(公告)号：US11615208B2

公开(公告)日：2023-03-28

申请号：US16151407

申请日：2018-10-04

申请人： Capital One Services, LLC

发明人： Anh Truong ,  Fardin Abdi Taghi Abad ,  Jeremy Goodsitt ,  Austin Walters ,  Mark Watson ,  Vincent Pham ,  Noriaki Tatsumi ,  Michael Walters ,  Kate Key ,  Reza Farivar ,  Kenneth Taylor

IPC分类号： G06N3/08 ,  G06N5/00 ,  G06N5/02 ,  G06F21/62 ,  G06N20/00 ,  G06F9/54 ,  G06F17/16 ,  G06N3/04 ,  G06F11/36 ,  G06N5/04 ,  G06F17/15 ,  G06T7/194 ,  G06T7/254 ,  G06T7/246 ,  G06F16/2455 ,  G06F16/22 ,  G06F16/28 ,  G06F16/906 ,  G06F16/93 ,  G06F16/903 ,  G06F16/9038 ,  G06F16/9032 ,  G06N3/088 ,  G06F16/25 ,  G06F16/335 ,  G06F16/242 ,  G06F16/248 ,  G06F30/20 ,  G06F40/166 ,  G06F40/117 ,  G06F40/20 ,  G06F8/71 ,  G06F17/18 ,  G06F21/55 ,  G06F21/60 ,  G06K9/62 ,  G06N7/00 ,  G06Q10/04 ,  G06T11/00 ,  H04L9/40 ,  H04L67/306 ,  H04L67/00 ,  H04N21/234 ,  H04N21/81 ,  G06V10/70 ,  G06V10/98 ,  G06V30/194 ,  G06V30/196

摘要： A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.

公开(公告)号：US11612145B1

公开(公告)日：2023-03-28

申请号：US17742423

申请日：2022-05-12

申请人： BeeHero Ltd.

发明人： Omer Davidi ,  Itai Kanot ,  Gordon Cameron Clouston

IPC分类号： G06K9/00 ,  A01K29/00 ,  A01K47/06 ,  G06V10/70 ,  G06V20/52

摘要： There is provided a computer implemented method of training a machine learning model, comprising: computing at least one in-colony feature indicative of an internal state of a sample honeybee colony positioned for pollination of at least one crop in a geographical area, from output of at least one internal sensor monitoring the honeybee colony, computing at least one out-colony feature indicative of an external environment of the sample honeybee colony, from output of at least one external sensor monitoring the environment of the honeybee colony, creating a multi-record training dataset, wherein a record comprises: a combination of at least one in-colony feature and at least one out-colony feature, and a ground truth label indicating pollination effectiveness of the sample honeybee colony, and training a machine learning model on the multi-record training dataset.

公开(公告)号：US20230083161A1

公开(公告)日：2023-03-16

申请号：US17578437

申请日：2022-01-18

申请人： Accenture Global Solutions Limited

发明人： Tariq Salameh ,  Sean Delaney ,  Kevin Edward Kapich ,  Gabriel Ernesto Gutierrez Anez ,  Jose Castellanos Molina

IPC分类号： G06F9/54 ,  G06V20/40 ,  G06V20/52 ,  G06V10/70

摘要： A computing architecture providing for rapid analysis and control of an environment via edge computing nodes is disclosed. Input data streams may be captured via one or more data stream independent CPU threads and prepared for processing by one or more machine learning models. The machine learning models may be trained according to different use cases to facilitate a multi-faceted and comprehensive analysis of the input data. The evaluation of the input data against the machine learning models may be facilitated via independent GPU threads (e.g., one thread per model or use case) and the outputs of the models may be evaluated using control logic to produce a set of outcomes and control data. The control data may be utilized to generate one or more command messages that may provide feedback to a remote device or user regarding a state of a monitored environment or other observed condition.

公开(公告)号：US20230081930A1

公开(公告)日：2023-03-16

申请号：US17941604

申请日：2022-09-09

申请人： TOYOTA JIDOSHA KABUSHIKI KAISHA

发明人： Daiki Yokoyama ,  Akihito Ito ,  Ryo Nakabayashi ,  Tatsuya Imamura ,  Tomohiro Kaneko ,  Hiroki Murata

IPC分类号： G06T7/70 ,  G06T7/20 ,  G06V10/70 ,  G06V20/52 ,  G06V40/10

摘要： A data collection apparatus collects data used for a process, based on image data representing a group of consecutive images received from an imaging device. A processor of the data collection apparatus is configured to: control transmission of image data to the data collection apparatus; detect an object included in each image of an image group represented by the image data; track a detected object between consecutive images; store object image data relating to each object tracked; and calculate a number of objects included in an image represented by the image data. The control of transmission of the image data or the detection of the objects is performed such that an amount of data per unit number of objects is smaller when the calculated number of objects is relatively larger, as compared to when the number is relatively smaller.

公开(公告)号：US20230073695A1

公开(公告)日：2023-03-09

申请号：US18050694

申请日：2022-10-28

申请人： CAPITAL ONE SERVICES, LLC

发明人： Jeremy GOODSITT ,  Austin WALTERS ,  Vincent PHAM ,  Fardin ABDI TAGHI ABAD

IPC分类号： G06F21/62 ,  G06N20/00 ,  G06F9/54 ,  G06F17/16 ,  G06N3/04 ,  G06F11/36 ,  G06N3/08 ,  G06N5/04 ,  G06F17/15 ,  G06T7/194 ,  G06T7/254 ,  G06T7/246 ,  G06F16/2455 ,  G06F16/22 ,  G06F16/28 ,  G06F16/906 ,  G06F16/93 ,  G06F16/903 ,  G06F16/9038 ,  G06F16/9032 ,  G06F16/25 ,  G06F16/335 ,  G06F16/242 ,  G06F16/248 ,  G06F30/20 ,  G06F40/166 ,  G06F40/117 ,  G06F40/20 ,  G06F8/71 ,  G06F17/18 ,  G06F21/55 ,  G06F21/60 ,  G06K9/62 ,  G06N7/00 ,  G06Q10/04 ,  G06T11/00 ,  H04L9/40 ,  H04L67/306 ,  H04L67/00 ,  H04N21/234 ,  H04N21/81 ,  G06N5/00 ,  G06N5/02 ,  G06V10/70 ,  G06V10/98 ,  G06V30/194 ,  G06V30/196

摘要： A system for returning synthetic database query results. The system may include a memory unit for storing instructions, and a processor configured to execute the instructions to perform operations comprising: receiving a query input by a user at a user interface; determining, based on natural language processing, a type of the query input; determining, based on the received query input and a database language interpreter, an output data format; returning, based on a generation model and the output data format, a result of the query input; providing, to a plurality of training models and based on the determined query type, the query input and the result; and training the training models, based on the query input and the result.

公开(公告)号：US11600090B2

公开(公告)日：2023-03-07

申请号：US16906988

申请日：2020-06-19

申请人： CANON KABUSHIKI KAISHA

发明人： Junya Arakawa

IPC分类号： G06K9/00 ,  G06V30/414 ,  G06K9/62 ,  G06F16/583 ,  G06V10/70 ,  H04N1/00 ,  G06V30/10

摘要： An image processing apparatus includes a character recognition processing unit configured to execute character recognition processing on the image data, an acquisition unit configured to acquire one or more character string blocks included in the image data, from the image data, a selection unit configured to select a character string block to be used for setting of a file name, from among the one or more character string blocks acquired by the acquisition unit, and a setting unit configured to set the file name of image data by using a character recognition result of the character recognition processing unit for the character string block selected by the selection unit.