CN118871930A - 使用对比学习进行异常事件预测 - Google Patents

使用对比学习进行异常事件预测 Download PDF

Info

Publication number
CN118871930A
CN118871930A CN202280093638.7A CN202280093638A CN118871930A CN 118871930 A CN118871930 A CN 118871930A CN 202280093638 A CN202280093638 A CN 202280093638A CN 118871930 A CN118871930 A CN 118871930A
Authority
CN
China
Prior art keywords
training
feature vector
data
encoder
feature
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202280093638.7A
Other languages
English (en)
Chinese (zh)
Inventor
A·H·雷扎伊安
A·波莱里
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Oracle International Corp
Original Assignee
Oracle International Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Oracle International Corp filed Critical Oracle International Corp
Publication of CN118871930A publication Critical patent/CN118871930A/zh
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40—Document-oriented image-based pattern recognition
    • G06V30/41—Analysis of document content
    • G06V30/413—Classification of content, e.g. text, photographs or tables
    • 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
    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised 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
    • G06N3/044—Recurrent networks, e.g. Hopfield 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
    • G06N3/045—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
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
CN202280093638.7A 2022-03-15 2022-11-21 使用对比学习进行异常事件预测 Pending CN118871930A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US17/654,891 2022-03-15
US17/654,891 US20230298371A1 (en) 2022-03-15 2022-03-15 Anomalous event prediction using contrastive learning
PCT/US2022/050531 WO2023177426A1 (en) 2022-03-15 2022-11-21 Anomalous event prediction using contrastive learning

Publications (1)

Publication Number Publication Date
CN118871930A true CN118871930A (zh) 2024-10-29

Family

ID=84830018

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202280093638.7A Pending CN118871930A (zh) 2022-03-15 2022-11-21 使用对比学习进行异常事件预测

Country Status (5)

Country Link
US (1) US20230298371A1 (https=)
JP (1) JP2025512750A (https=)
CN (1) CN118871930A (https=)
GB (1) GB2635811A (https=)
WO (1) WO2023177426A1 (https=)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12455896B2 (en) * 2023-04-12 2025-10-28 Tyco Fire & Security Gmbh Building management system with generative AI-based interactive service tool
US12406232B2 (en) 2023-04-12 2025-09-02 Tyco Fire & Security Gmbh Building management system with generative AI-based automated flexible customer report generation and standardization
US12282305B2 (en) 2023-04-12 2025-04-22 Tyco Fire & Security Gmbh Building management system with generative AI-based predictive maintenance
US12242937B1 (en) 2023-04-12 2025-03-04 Tyco Fire & Security Gmbh Building management system with generative AI-based root cause prediction
US12181844B2 (en) 2023-04-12 2024-12-31 Tyco Fire & Security Gmbh Building management system with natural language model-based data structure generation
CN119443195A (zh) * 2023-07-30 2025-02-14 鸿海精密工业股份有限公司 机器学习方法
CN119046541B (zh) * 2024-10-31 2025-03-04 山东科技大学 一种基于社区感知与多尺度图对比学习的推荐方法
CN121502692A (zh) * 2026-01-12 2026-02-10 国网安徽省电力有限公司合肥供电公司 一种基于多源数据融合的人才全景画像及动态评价方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010541415A (ja) * 2007-09-28 2010-12-24 グレースノート インコーポレイテッド マルチメディアイベントのプレゼンテーションの合成
US20160253597A1 (en) * 2015-02-27 2016-09-01 Xerox Corporation Content-aware domain adaptation for cross-domain classification
US20210334645A1 (en) * 2020-04-28 2021-10-28 Nvidia Corporation Notifications determined using one or more neural networks
US11900336B2 (en) * 2020-05-05 2024-02-13 Capital One Services, Llc Computer-based systems configured for automated activity verification based on optical character recognition models and methods of use thereof
US12430573B2 (en) * 2020-05-26 2025-09-30 Apple Inc. Subject-aware contrastive learning for biosignals

Also Published As

Publication number Publication date
JP2025512750A (ja) 2025-04-22
GB2635811A (en) 2025-05-28
US20230298371A1 (en) 2023-09-21
WO2023177426A1 (en) 2023-09-21
GB202412570D0 (en) 2024-10-09

Similar Documents

Publication Publication Date Title
US20230298371A1 (en) Anomalous event prediction using contrastive learning
US11921815B2 (en) Techniques for the automated customization and deployment of a machine learning application
US11238223B2 (en) Systems and methods for intelligently predicting accurate combinations of values presentable in data fields
US11915195B2 (en) Systems and methods for intelligent field matching and anomaly detection
US11803793B2 (en) Automated data forecasting using machine learning
US11676049B2 (en) Enhanced model updating using vector space transformations for model mapping
US20250023889A1 (en) Optimally compressed feature representation deployment for automated refresh in event driven learning paradigms
US20180357563A1 (en) Data Processing System with Machine Learning Engine to Provide Profile Generation and Event Control Functions
US12099618B2 (en) System for image/video authenticity verification
US12001984B2 (en) Enhanced user selection for communication workflows using machine-learning techniques
CN119895421A (zh) 在智能流水线内设计和实现具有隐私规定的隐私保持ai的系统
US20230267018A1 (en) System and method of automated processing for dynamic api generation
US11449773B2 (en) Enhanced similarity detection between data sets with unknown prior features using machine-learning
US12118546B2 (en) Machine learning techniques for rebuilding transactions to predict cash position
CN119168731A (zh) 一种服务推荐方法、装置、计算机设备及存储介质
US20230053242A1 (en) System and methods for simultaneous resource evaluation and validation to avoid downstream tampering
US20250124442A1 (en) Systems and methods for risk signal collection and shifting fraud responsibility
US12554820B2 (en) Systems and methods for improving data security by generating surrounding image sonification and dynamically adjusting graphical user interfaces
US12406093B2 (en) Systems and methods for preventing sensitive data leakage during label propagation
CN121189511B (zh) 生成式推荐模型的训练方法、装置、设备、介质
US12619749B2 (en) System for image/video authenticity verification
US20250005953A1 (en) Anomaly detection in documents with visual cues
US20250315099A1 (en) Systems and methods for dynamically modifying extended reality environments and determining modified usages in real time using quantum computing
US20250068342A1 (en) Configurable storage resource usage through a multi-phase data processing pipeline for data storage efficiency
US20250328424A1 (en) System and method for dynamically performing resource upgrades based on determining change windows via a generative artificial intelligence engine

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination