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公开(公告)号：US20230368516A1
公开(公告)日：2023-11-16
申请号：US18358067
申请日：2023-07-25
申请人： Intel Corporation
发明人： Barnan Das , Mayuresh M. Varerkar , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Sherine Abdelhak , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
IPC分类号： G06V10/82 , G06F16/783 , G06F16/583 , G06V10/94 , G06V40/10 , G06V40/20 , G06F18/2413 , G06V10/764
CPC分类号： G06V10/82 , G06F16/784 , G06F16/5838 , G06V10/955 , G06V40/10 , G06V40/23 , G06V40/103 , G06F18/24143 , G06V10/764
摘要： A graphics processor can include a processing cluster array including a plurality of processing clusters coupled with the plurality of memory controllers, each processing cluster of the plurality of processing clusters including a plurality of streaming multiprocessors, the processing cluster array configured for partitioning into a plurality of partitions. The plurality of partitions include a first partition including a first plurality of streaming multiprocessors configured to perform operations for a first neural network, The operations for the first neural network are isolated to the first partition. The plurality of partitions also include a second partition including a second plurality of streaming multiprocessors configured to perform operations for a second neural network. The operations for the second neural network are isolated to the second partition and protected from operations performed for the first neural network.
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公开(公告)号：US11900665B2
公开(公告)日：2024-02-13
申请号：US18358067
申请日：2023-07-25
申请人： Intel Corporation
发明人： Barnan Das , Mayuresh M. Varerkar , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Sherine Abdelhak , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
IPC分类号： G06V10/82 , G06V40/10 , G06V10/94 , G06V10/764 , G06V40/20 , G06F16/783 , G06F16/583 , G06F18/2413 , G06V10/10
CPC分类号： G06V10/82 , G06F16/5838 , G06F16/784 , G06F18/24143 , G06V10/764 , G06V10/955 , G06V40/10 , G06V40/103 , G06V40/23
摘要： A graphics processor can include a processing cluster array including a plurality of processing clusters coupled with the plurality of memory controllers, each processing cluster of the plurality of processing clusters including a plurality of streaming multiprocessors, the processing cluster array configured for partitioning into a plurality of partitions. The plurality of partitions include a first partition including a first plurality of streaming multiprocessors configured to perform operations for a first neural network, The operations for the first neural network are isolated to the first partition. The plurality of partitions also include a second partition including a second plurality of streaming multiprocessors configured to perform operations for a second neural network. The operations for the second neural network are isolated to the second partition and protected from operations performed for the first neural network.
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公开(公告)号：US20190095703A1
公开(公告)日：2019-03-28
申请号：US16123842
申请日：2018-09-06
申请人： Intel Corporation
发明人： Barnan Das , Mayuresh M. Varerkar , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Sherine Abdelhak , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
摘要： A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
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公开(公告)号：US11487811B2
公开(公告)日：2022-11-01
申请号：US16696854
申请日：2019-11-26
申请人： Intel Corporation
发明人： Barnan Das , Mayuresh M. Varerkar , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Sherine Abdelhak , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. MacPherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
IPC分类号： G06F16/583 , G06F16/783 , G06K9/62 , G06V10/94 , G06V40/10 , G06V40/20
摘要： A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
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公开(公告)号：US20180307899A1
公开(公告)日：2018-10-25
申请号：US15495327
申请日：2017-04-24
申请人： Intel Corporation
发明人： Barnan Das , MAYURESH M. VARERKAR , NARAYAN BISWAL , STANLEY J. BARAN , GOKCEN CILINGIR , NILESH V. SHAH , ARCHIE SHARMA , SHERINE ABDELHAK , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
CPC分类号： G06K9/00288 , G06F17/30256 , G06F17/30793 , G06K9/00255 , G06K9/00268 , G06K9/00885 , G06K9/6269 , G06T7/70 , G06T2207/30184 , G06T2207/30201 , G06T2207/30232
摘要： A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
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公开(公告)号：US10108850B1
公开(公告)日：2018-10-23
申请号：US15495327
申请日：2017-04-24
申请人： Intel Corporation
发明人： Barnan Das , Mayuresh M. Varerkar , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Sherine Abdelhak , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
CPC分类号： G06K9/00288 , G06F17/30256 , G06F17/30793 , G06K9/00255 , G06K9/00268 , G06K9/00885 , G06K9/6269 , G06T7/70 , G06T2207/30184 , G06T2207/30201 , G06T2207/30232
摘要： A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
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