CA2926334A1 - Methods and apparatus for tagging classes using supervised learning - Google Patents

Methods and apparatus for tagging classes using supervised learning Download PDF

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Publication number
CA2926334A1
CA2926334A1 CA2926334A CA2926334A CA2926334A1 CA 2926334 A1 CA2926334 A1 CA 2926334A1 CA 2926334 A CA2926334 A CA 2926334A CA 2926334 A CA2926334 A CA 2926334A CA 2926334 A1 CA2926334 A1 CA 2926334A1
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Prior art keywords
network
classes
neurons
neuron
artificial neurons
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Abandoned
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CA2926334A
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English (en)
French (fr)
Inventor
Vikram Gupta
Regan Blythe TOWAL
Victor Hokkiu CHAN
Ravindra Manohar Patwardhan
Jeffrey Levin
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Qualcomm Inc
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Qualcomm Inc
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Publication of CA2926334A1 publication Critical patent/CA2926334A1/en
Abandoned legal-status Critical Current

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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
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • 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
    • G06N3/0499—Feedforward 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
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • 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
    • G06N3/088—Non-supervised learning, e.g. competitive 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
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Machine Translation (AREA)
  • Stored Programmes (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
CA2926334A 2013-10-28 2014-10-13 Methods and apparatus for tagging classes using supervised learning Abandoned CA2926334A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US14/065,089 2013-10-28
US14/065,089 US9418331B2 (en) 2013-10-28 2013-10-28 Methods and apparatus for tagging classes using supervised learning
PCT/US2014/060234 WO2015065686A2 (en) 2013-10-28 2014-10-13 Methods and apparatus for tagging classes using supervised learning

Publications (1)

Publication Number Publication Date
CA2926334A1 true CA2926334A1 (en) 2015-05-07

Family

ID=51845519

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2926334A Abandoned CA2926334A1 (en) 2013-10-28 2014-10-13 Methods and apparatus for tagging classes using supervised learning

Country Status (7)

Country Link
US (1) US9418331B2 (OSRAM)
EP (1) EP3063706A2 (OSRAM)
JP (1) JP2016538632A (OSRAM)
KR (1) KR20160076533A (OSRAM)
CN (1) CN105684002B (OSRAM)
CA (1) CA2926334A1 (OSRAM)
WO (1) WO2015065686A2 (OSRAM)

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US9552546B1 (en) * 2013-07-30 2017-01-24 Brain Corporation Apparatus and methods for efficacy balancing in a spiking neuron network
US10198691B2 (en) * 2014-06-19 2019-02-05 University Of Florida Research Foundation, Inc. Memristive nanofiber neural networks
EP3158509A4 (en) * 2014-06-19 2018-02-28 University of Florida Research Foundation, Inc. Memristive nanofiber neural networks
US9881349B1 (en) 2014-10-24 2018-01-30 Gopro, Inc. Apparatus and methods for computerized object identification
US10074050B2 (en) * 2015-07-13 2018-09-11 Denso Corporation Memristive neuromorphic circuit and method for training the memristive neuromorphic circuit
CN105243421B (zh) * 2015-10-19 2018-04-03 湖州师范学院 一种基于cnn声发射识别动静态部件间摩擦故障的方法
CN106875004B (zh) * 2017-01-20 2019-09-10 北京灵汐科技有限公司 复合模式神经元信息处理方法和系统
CN110651330A (zh) 2017-05-22 2020-01-03 佛罗里达大学研究基金会 二分忆阻网络中的深度学习
US11348002B2 (en) 2017-10-24 2022-05-31 International Business Machines Corporation Training of artificial neural networks
CN108038543B (zh) * 2017-10-24 2021-01-22 华南师范大学 期望与反期望深度学习方法和神经网络系统
CN107798384B (zh) * 2017-10-31 2020-10-16 山东第一医科大学(山东省医学科学院) 一种基于可进化脉冲神经网络的鸢尾花卉分类方法和装置
US20190042942A1 (en) * 2017-12-07 2019-02-07 Koba Natroshvili Hybrid spiking neural network and support vector machine classifier
US10108903B1 (en) * 2017-12-08 2018-10-23 Cognitive Systems Corp. Motion detection based on machine learning of wireless signal properties
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WO2019167884A1 (ja) * 2018-02-28 2019-09-06 富士フイルム株式会社 機械学習方法及び装置、プログラム、学習済みモデル、並びに判別装置
CN112204617B (zh) * 2018-04-09 2023-09-05 杜比实验室特许公司 使用神经网络映射的hdr图像表示
KR102187830B1 (ko) * 2018-06-29 2020-12-07 포항공과대학교 산학협력단 뉴럴 네트워크 하드웨어
WO2020065881A1 (ja) * 2018-09-27 2020-04-02 Tdk株式会社 積和演算器、ニューロモーフィックデバイス及び積和演算方法
KR20200052439A (ko) 2018-10-29 2020-05-15 삼성에스디에스 주식회사 딥러닝 모델의 최적화 시스템 및 방법
WO2020112105A1 (en) * 2018-11-28 2020-06-04 Hewlett-Packard Development Company, L.P. Event-based processing using the output of a deep neural network
JP7279368B2 (ja) * 2019-01-17 2023-05-23 富士通株式会社 学習方法、学習プログラムおよび学習装置
JP7163786B2 (ja) 2019-01-17 2022-11-01 富士通株式会社 学習方法、学習プログラムおよび学習装置
CN110458286B (zh) * 2019-08-14 2022-02-08 中科寒武纪科技股份有限公司 数据处理方法、装置、计算机设备和存储介质
US11684921B1 (en) * 2019-08-16 2023-06-27 Leidos, Inc. Pocket detection pouch
KR102787375B1 (ko) 2019-12-27 2025-03-27 삼성전자주식회사 신경망의 데이터 입력 및 출력을 제어하는 제어 방법 및 장치
CN113408613B (zh) * 2021-06-18 2022-07-19 电子科技大学 一种基于延迟机制的单层图像分类方法
US12205242B2 (en) * 2021-07-01 2025-01-21 Leidos, Inc. Method and system for accelerating rapid class augmentation for object detection in deep neural networks

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Also Published As

Publication number Publication date
WO2015065686A2 (en) 2015-05-07
KR20160076533A (ko) 2016-06-30
WO2015065686A3 (en) 2015-06-25
JP2016538632A (ja) 2016-12-08
US9418331B2 (en) 2016-08-16
US20150120626A1 (en) 2015-04-30
CN105684002A (zh) 2016-06-15
EP3063706A2 (en) 2016-09-07
CN105684002B (zh) 2018-07-20

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Effective date: 20191015