CN111914990B - 机器学习系统以及用于创建机器学习系统的方法和设备 - Google Patents

机器学习系统以及用于创建机器学习系统的方法和设备

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Publication number
CN111914990B
CN111914990B CN202010376808.5A CN202010376808A CN111914990B CN 111914990 B CN111914990 B CN 111914990B CN 202010376808 A CN202010376808 A CN 202010376808A CN 111914990 B CN111914990 B CN 111914990B
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machine learning
learning system
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image
variable
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CN111914990A (zh
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T.普法伊尔
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Robert Bosch GmbH
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Robert Bosch GmbH
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurology (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Game Theory and Decision Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Business, Economics & Management (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
CN202010376808.5A 2019-05-08 2020-05-07 机器学习系统以及用于创建机器学习系统的方法和设备 Active CN111914990B (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019206621.6A DE102019206621A1 (de) 2019-05-08 2019-05-08 Maschinelles Lernsystem, sowie ein Verfahren, ein Computerprogramm und eine Vorrichtung zum Erstellen des maschinellen Lernsystems
DE102019206621.6 2019-05-08

Publications (2)

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CN111914990A CN111914990A (zh) 2020-11-10
CN111914990B true CN111914990B (zh) 2025-08-15

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US (1) US11790218B2 (https=)
EP (1) EP3736742B1 (https=)
JP (1) JP7493380B2 (https=)
KR (1) KR20200130153A (https=)
CN (1) CN111914990B (https=)
DE (1) DE102019206621A1 (https=)

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US11755469B2 (en) * 2020-09-24 2023-09-12 Argo AI, LLC System for executing structured tests across a fleet of autonomous vehicles
US12356219B2 (en) * 2020-10-15 2025-07-08 Qualcomm Incorporated Update resolution signaling in federated learning
US12517983B2 (en) * 2022-08-22 2026-01-06 Nec Corporation SNR detection with few-shot trained models

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JP3827037B2 (ja) * 1997-05-23 2006-09-27 ソニー株式会社 学習方法および装置、ロボット、並びに記録媒体
US20180336469A1 (en) * 2017-05-18 2018-11-22 Qualcomm Incorporated Sigma-delta position derivative networks
CN107633223A (zh) * 2017-09-15 2018-01-26 深圳市唯特视科技有限公司 一种基于深层对抗网络的视频人体属性识别方法
DE102017218889A1 (de) * 2017-10-23 2019-04-25 Robert Bosch Gmbh Unscharf parametriertes KI-Modul sowie Verfahren zum Betreiben
DE102018220608A1 (de) 2018-09-26 2020-03-26 Robert Bosch Gmbh Maschinelles Lernsystem, sowie ein Verfahren, ein Computerprogramm und eine Vorrichtung zum Erstellen des maschinellen Lernsystems
US10999606B2 (en) * 2019-01-08 2021-05-04 Intel Corporation Method and system of neural network loop filtering for video coding
US11481991B2 (en) * 2020-07-15 2022-10-25 Visual Defence Inc. System and method for detecting and transmitting incidents of interest of a roadway to a remote server
US20220309320A1 (en) * 2021-03-25 2022-09-29 Smart Engines Service, LLC Almost-indirect convolution in quantized neural networks

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3D Convolutional Neural Networks for Human Action Recognition;Shuiwang Ji等;《IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE》;20131231;第1-12页 *
Fixed-Point Quantization of 3D Convolutional Neural Networks for Energy-Efficient Action Recognition;Hyunhoon Lee等;《2018 ISOCC》;20190224;第1-3页 *
Hyunhoon Lee等.Fixed-Point Quantization of 3D Convolutional Neural Networks for Energy-Efficient Action Recognition.《2018 ISOCC》.2019,第1-3页. *

Also Published As

Publication number Publication date
EP3736742A1 (de) 2020-11-11
JP2020184341A (ja) 2020-11-12
DE102019206621A1 (de) 2020-11-12
CN111914990A (zh) 2020-11-10
US20200356845A1 (en) 2020-11-12
EP3736742B1 (de) 2025-01-29
KR20200130153A (ko) 2020-11-18
US11790218B2 (en) 2023-10-17
JP7493380B2 (ja) 2024-05-31

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