JPWO2021079436A1 - - Google Patents

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Publication number
JPWO2021079436A1
JPWO2021079436A1 JP2021553208A JP2021553208A JPWO2021079436A1 JP WO2021079436 A1 JPWO2021079436 A1 JP WO2021079436A1 JP 2021553208 A JP2021553208 A JP 2021553208A JP 2021553208 A JP2021553208 A JP 2021553208A JP WO2021079436 A1 JPWO2021079436 A1 JP WO2021079436A1
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JP
Japan
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JP2021553208A
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Japanese (ja)
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JP7272455B2 (ja
JPWO2021079436A5 (https=
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Classifications

    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2178—Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
    • G06F18/2185—Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor the supervisor being an automated module, e.g. intelligent oracle
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/245—Classification techniques relating to the decision surface
    • G06F18/2453—Classification techniques relating to the decision surface non-linear, e.g. polynomial classifier
    • 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
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/045—Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Health & Medical Sciences (AREA)
  • Nonlinear Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
JP2021553208A 2019-10-23 2019-10-23 検出方法、検出プログラム及び情報処理装置 Active JP7272455B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/041547 WO2021079436A1 (ja) 2019-10-23 2019-10-23 検出方法、検出プログラム及び情報処理装置

Publications (3)

Publication Number Publication Date
JPWO2021079436A1 true JPWO2021079436A1 (https=) 2021-04-29
JPWO2021079436A5 JPWO2021079436A5 (https=) 2022-04-27
JP7272455B2 JP7272455B2 (ja) 2023-05-12

Family

ID=75619701

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021553208A Active JP7272455B2 (ja) 2019-10-23 2019-10-23 検出方法、検出プログラム及び情報処理装置

Country Status (3)

Country Link
US (1) US20220230027A1 (https=)
JP (1) JP7272455B2 (https=)
WO (1) WO2021079436A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113269139B (zh) * 2021-06-18 2023-09-26 中电科大数据研究院有限公司 一种针对复杂场景的自学习大规模警员图像分类模型
WO2024047758A1 (ja) * 2022-08-30 2024-03-07 富士通株式会社 訓練データ分布推定プログラム、装置、及び方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019139010A (ja) * 2018-02-08 2019-08-22 日本電信電話株式会社 音声認識精度劣化要因推定装置、音声認識精度劣化要因推定方法、プログラム

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9165051B2 (en) * 2010-08-24 2015-10-20 Board Of Trustees Of The University Of Illinois Systems and methods for detecting a novel data class
US9031897B2 (en) * 2012-03-23 2015-05-12 Nuance Communications, Inc. Techniques for evaluation, building and/or retraining of a classification model
EP3459022A4 (en) * 2016-05-16 2020-02-19 Purepredictive, Inc. Predictive drift detection and correction
US20180307741A1 (en) * 2017-04-25 2018-10-25 Intel Corporation Filtering training data for simpler rbf models

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019139010A (ja) * 2018-02-08 2019-08-22 日本電信電話株式会社 音声認識精度劣化要因推定装置、音声認識精度劣化要因推定方法、プログラム

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
KIM, YOUNGIN ほか: "An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling", ［オンライン］, JPN6019050552, October 2017 (2017-10-01), pages 2537 - 2546, XP055819275, ISSN: 0005022668, DOI: 10.1587/transinf.2017EDP7091 *

Also Published As

Publication number Publication date
WO2021079436A1 (ja) 2021-04-29
US20220230027A1 (en) 2022-07-21
JP7272455B2 (ja) 2023-05-12

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