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公开(公告)号：US20210357647A1
公开(公告)日：2021-11-18
申请号：US15931796
申请日：2020-05-14
Applicant: International Business Machines Corporation
Inventor： Han Na , Rei Odaira
Abstract: A method, system, and computer program product provide for video action classification by selecting a first video frame and a first plurality of video frames from a received video to process the first video frame with a 2D convolutional neural network processing pathway to extract spatial features classifying the first video frame, and to process the first plurality of video frames with a 3D convolutional neural network processing pathway to extract spatiotemporal features classifying the first plurality of video frames so that the spatial features are combined with the spatiotemporal features to generate a classification label for the video action.
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公开(公告)号：US11231985B1
公开(公告)日：2022-01-25
申请号：US16935123
申请日：2020-07-21
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Anupama Jagannathan , Karthick Rajamani , Han Na , Amos A. Omokpo
Abstract: A system is configured to determine a dominant error causing a provisioning step to become stuck during provisioning of a machine in a cloud environment. The system includes memory for storing instructions, and a processor configured to execute said instructions to determine an inverse error frequency (IEF) value for pre-intervention errors in a set of intervention provisioning data; determine a dominant error for a provision during said provisioning step in said set of intervention provisioning data based on a pre-intervention error that has a maximum IEF value; determine a duration frequency (DuF) value for the provision at said provisioning step for provisions in a set of non-intervention provisioning data; and determine said dominant error for each provision during said provisioning step in said set of non-intervention provisioning data based on an error that resulted in DuF value.
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公开(公告)号：US11276249B2
公开(公告)日：2022-03-15
申请号：US15931796
申请日：2020-05-14
Applicant: International Business Machines Corporation
Inventor： Han Na , Rei Odaira
Abstract: A method, system, and computer program product provide for video action classification by selecting a first video frame and a first plurality of video frames from a received video to process the first video frame with a 2D convolutional neural network processing pathway to extract spatial features classifying the first video frame, and to process the first plurality of video frames with a 3D convolutional neural network processing pathway to extract spatiotemporal features classifying the first plurality of video frames so that the spatial features are combined with the spatiotemporal features to generate a classification label for the video action.
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公开(公告)号：US20220027222A1
公开(公告)日：2022-01-27
申请号：US16935123
申请日：2020-07-21
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Anupama Jagannathan , Karthick Rajamani , Han Na , Amos A. Omokpo
Abstract: A system is configured to determine a dominant error causing a provisioning step to become stuck during provisioning of a machine in a cloud environment. The system includes memory for storing instructions, and a processor configured to execute said instructions to determine an inverse error frequency (IEF) value for pre-intervention errors in a set of intervention provisioning data; determine a dominant error for a provision during said provisioning step in said set of intervention provisioning data based on a pre-intervention error that has a maximum IEF value; determine a duration frequency (DuF) value for the provision at said provisioning step for provisions in a set of non-intervention provisioning data; and determine said dominant error for each provision during said provisioning step in said set of non-intervention provisioning data based on an error that resulted in DuF value.
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