Title:
APPARATUS AND METHOD FOR MANAGING APPLICATION PROGRAM
Document Type and Number:
WIPO Patent Application WO/2020/141720
Kind Code:
A1
Abstract:
Provided is an apparatus configured to determine a common neural network based on a comparison between a first neural network included in a first application program and a second neural network included in a second application program, utilize the common neural network when the first application program or the second application program is executed.
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Inventors:
JUNG HYUNJOO (KR)
KIM JAEDEOK (KR)
PARK CHIYOUN (KR)
KIM JAEDEOK (KR)
PARK CHIYOUN (KR)
Application Number:
PCT/KR2019/015805
Publication Date:
July 09, 2020
Filing Date:
November 19, 2019
Export Citation:
Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06F9/48; G06F9/445
Foreign References:
| US20180157972A1 | 2018-06-07 | |||
| US20130066925A1 | 2013-03-14 | |||
| US5613043A | 1997-03-18 | |||
| US5901314A | 1999-05-04 | |||
| US20170344881A1 | 2017-11-30 |
Other References:
STEPHEN CHARLES ASHMORE: "Evaluating the Intrinsic Similarity between Neur al Networks", THESES AND DISSERTATIONS, 31 December 2015 (2015-12-31), pages 1 - 43, XP055716782
KAMINSKYMICHAEL A KOZUCHPADMANABHAN PILLAI, MAINSTREAM: DYNAMIC STEM-SHARING FOR MULTI-TENANT VIDEO PROCESSING RELATES TO METHODS FOR PARTIAL DEEP NEURAL NETWORK SHARING BETWEEN DIFFERENT APPLICATIONS VIA TRANSFER LEARNING FROM A COMMON DNN MODEL
GEORGIEV PETKO ET AL., LOW-RESOURCE MULTI-TASK AUDIO SENSING FOR MOBILE AND EMBEDDED DEVICES VIA SHARED DEEP NEURAL NETWORK REPRESENTATIONS RELATES TO METHODS FOR SHARING LAYERS OF A DEEP NEURAL NETWORK OF DIFFERENT NEURAL NETWORKS THAT PERFORM RELATED AUDIO ANALYSIS TASKS
See also references of EP 3821341A4
KAMINSKYMICHAEL A KOZUCHPADMANABHAN PILLAI, MAINSTREAM: DYNAMIC STEM-SHARING FOR MULTI-TENANT VIDEO PROCESSING RELATES TO METHODS FOR PARTIAL DEEP NEURAL NETWORK SHARING BETWEEN DIFFERENT APPLICATIONS VIA TRANSFER LEARNING FROM A COMMON DNN MODEL
GEORGIEV PETKO ET AL., LOW-RESOURCE MULTI-TASK AUDIO SENSING FOR MOBILE AND EMBEDDED DEVICES VIA SHARED DEEP NEURAL NETWORK REPRESENTATIONS RELATES TO METHODS FOR SHARING LAYERS OF A DEEP NEURAL NETWORK OF DIFFERENT NEURAL NETWORKS THAT PERFORM RELATED AUDIO ANALYSIS TASKS
See also references of EP 3821341A4
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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