CN116508028B - 用于行为生物测定的时空深度学习 - Google Patents

用于行为生物测定的时空深度学习

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CN116508028B
CN116508028B CN202180079195.1A CN202180079195A CN116508028B CN 116508028 B CN116508028 B CN 116508028B CN 202180079195 A CN202180079195 A CN 202180079195A CN 116508028 B CN116508028 B CN 116508028B
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spatiotemporal
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CN116508028A (zh
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李泰星
I·M·莫莉
Y·帕克
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International Business Machines Corp
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • 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
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
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    • G06N3/044—Recurrent networks, e.g. Hopfield networks
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    • 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • 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
    • G06N3/08—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

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  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
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  • Image Analysis (AREA)
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CN202180079195.1A 2020-12-16 2021-12-10 用于行为生物测定的时空深度学习 Active CN116508028B (zh)

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Application Number Priority Date Filing Date Title
US17/123,821 2020-12-16
US17/123,821 US12019720B2 (en) 2020-12-16 2020-12-16 Spatiotemporal deep learning for behavioral biometrics
PCT/IB2021/061560 WO2022130147A1 (en) 2020-12-16 2021-12-10 Spatiotemporal deep learning for behavioral biometrics

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CN116508028B true CN116508028B (zh) 2026-02-03

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JP (1) JP7710520B2 (https=)
CN (1) CN116508028B (https=)
DE (1) DE112021006507T5 (https=)
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US12019720B2 (en) 2024-06-25
GB202310287D0 (en) 2023-08-16
CN116508028A (zh) 2023-07-28
GB2617940B (en) 2024-01-17
JP2023554336A (ja) 2023-12-27
GB2617940A (en) 2023-10-25
DE112021006507T5 (de) 2023-10-12
JP7710520B2 (ja) 2025-07-18
US20220188390A1 (en) 2022-06-16
WO2022130147A1 (en) 2022-06-23

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