JPWO2021079458A1 - - Google Patents
Info
- Publication number
- JPWO2021079458A1 JPWO2021079458A1 JP2021553228A JP2021553228A JPWO2021079458A1 JP WO2021079458 A1 JPWO2021079458 A1 JP WO2021079458A1 JP 2021553228 A JP2021553228 A JP 2021553228A JP 2021553228 A JP2021553228 A JP 2021553228A JP WO2021079458 A1 JPWO2021079458 A1 JP WO2021079458A1
- Authority
- JP
- Japan
- 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.)
- Granted
Links
Classifications
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- 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
- 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
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
-
- 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
- G06N3/09—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
- G06N3/045—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
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Image Analysis (AREA)
- Testing And Monitoring For Control Systems (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/041689 WO2021079458A1 (ja) | 2019-10-24 | 2019-10-24 | 検出方法、検出プログラムおよび情報処理装置 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021079458A1 true JPWO2021079458A1 (https=) | 2021-04-29 |
| JPWO2021079458A5 JPWO2021079458A5 (https=) | 2022-06-02 |
| JP7306468B2 JP7306468B2 (ja) | 2023-07-11 |
Family
ID=75619347
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021553228A Active JP7306468B2 (ja) | 2019-10-24 | 2019-10-24 | 検出方法、検出プログラムおよび情報処理装置 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20220215294A1 (https=) |
| JP (1) | JP7306468B2 (https=) |
| WO (1) | WO2021079458A1 (https=) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7297705B2 (ja) * | 2020-03-18 | 2023-06-26 | 株式会社東芝 | 処理装置、処理方法、学習装置およびプログラム |
| CN111797893B (zh) * | 2020-05-26 | 2021-09-14 | 华为技术有限公司 | 一种神经网络的训练方法、图像分类系统及相关设备 |
| US20230031512A1 (en) * | 2020-10-14 | 2023-02-02 | Feedzai - Consultadoria E Inovação Tecnológica, S.A. | Surrogate hierarchical machine-learning model to provide concept explanations for a machine-learning classifier |
| CN120295859A (zh) * | 2025-03-25 | 2025-07-11 | 拓锐科技有限公司 | 一种基于大数据的ai智能体设计平台决策优化方法 |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7970718B2 (en) * | 2001-05-18 | 2011-06-28 | Health Discovery Corporation | Method for feature selection and for evaluating features identified as significant for classifying data |
| JP6708204B2 (ja) * | 2015-03-23 | 2020-06-10 | 日本電気株式会社 | 精度推定モデル生成システムおよび精度推定システム |
| US10713540B2 (en) * | 2017-03-07 | 2020-07-14 | Board Of Trustees Of Michigan State University | Deep learning system for recognizing pills in images |
| US20180268292A1 (en) * | 2017-03-17 | 2018-09-20 | Nec Laboratories America, Inc. | Learning efficient object detection models with knowledge distillation |
| US11410029B2 (en) * | 2018-01-02 | 2022-08-09 | International Business Machines Corporation | Soft label generation for knowledge distillation |
| JP6904477B2 (ja) * | 2018-03-08 | 2021-07-14 | 富士通株式会社 | 情報処理装置、情報処理方法および情報処理プログラム |
| JP7238470B2 (ja) * | 2018-03-15 | 2023-03-14 | 富士通株式会社 | 学習装置、検査装置、学習検査方法、学習プログラムおよび検査プログラム |
| US11868440B1 (en) * | 2018-10-04 | 2024-01-09 | A9.Com, Inc. | Statistical model training systems |
| US11487997B2 (en) * | 2018-10-04 | 2022-11-01 | Visa International Service Association | Method, system, and computer program product for local approximation of a predictive model |
| JP7172612B2 (ja) * | 2019-01-11 | 2022-11-16 | 富士通株式会社 | データ拡張プログラム、データ拡張方法およびデータ拡張装置 |
| US11392803B2 (en) * | 2019-06-04 | 2022-07-19 | International Business Machines Corporation | Decision boundary enhancement for learning models |
| CA3147392A1 (en) * | 2019-07-19 | 2021-01-28 | Pavel SINHA | Configurable processor for implementing convolution neural networks |
| JP7306469B2 (ja) * | 2019-10-24 | 2023-07-11 | 富士通株式会社 | 検出方法、検出プログラムおよび情報処理装置 |
| JP7400827B2 (ja) * | 2019-10-24 | 2023-12-19 | 富士通株式会社 | 検出方法、検出プログラムおよび情報処理装置 |
| FI20205565A1 (en) * | 2020-06-01 | 2021-12-02 | Nokia Technologies Oy | APPARATUS, METHOD AND COMPUTER PROGRAM FOR ACCELERATING BEAM MESH OPTIMIZATION USING TRANSFER LEARNING |
| JP7424507B2 (ja) * | 2020-10-16 | 2024-01-30 | 富士通株式会社 | 検知プログラム、検知方法および検知装置 |
-
2019
- 2019-10-24 JP JP2021553228A patent/JP7306468B2/ja active Active
- 2019-10-24 WO PCT/JP2019/041689 patent/WO2021079458A1/ja not_active Ceased
-
2022
- 2022-03-21 US US17/699,170 patent/US20220215294A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021079458A1 (ja) | 2021-04-29 |
| JP7306468B2 (ja) | 2023-07-11 |
| US20220215294A1 (en) | 2022-07-07 |
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