JP6776331B2 - 未知クラスの検出および未知クラスのための分類器の初期化 - Google Patents
未知クラスの検出および未知クラスのための分類器の初期化 Download PDFInfo
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- JP6776331B2 JP6776331B2 JP2018505589A JP2018505589A JP6776331B2 JP 6776331 B2 JP6776331 B2 JP 6776331B2 JP 2018505589 A JP2018505589 A JP 2018505589A JP 2018505589 A JP2018505589 A JP 2018505589A JP 6776331 B2 JP6776331 B2 JP 6776331B2
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- G06N20/00—Machine learning
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- 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
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- 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
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- 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]
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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- 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
-
- 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
- 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
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- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Multimedia (AREA)
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- Molecular Biology (AREA)
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Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201562201090P | 2015-08-04 | 2015-08-04 | |
| US62/201,090 | 2015-08-04 | ||
| US14/849,518 | 2015-09-09 | ||
| US14/849,518 US20170039469A1 (en) | 2015-08-04 | 2015-09-09 | Detection of unknown classes and initialization of classifiers for unknown classes |
| PCT/US2016/043146 WO2017023551A2 (en) | 2015-08-04 | 2016-07-20 | Detection of unknown classes and initialization of classifiers for unknown classes |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2018528525A JP2018528525A (ja) | 2018-09-27 |
| JP2018528525A5 JP2018528525A5 (enExample) | 2019-08-08 |
| JP6776331B2 true JP6776331B2 (ja) | 2020-10-28 |
Family
ID=56555818
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2018505589A Active JP6776331B2 (ja) | 2015-08-04 | 2016-07-20 | 未知クラスの検出および未知クラスのための分類器の初期化 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20170039469A1 (enExample) |
| EP (1) | EP3332362B1 (enExample) |
| JP (1) | JP6776331B2 (enExample) |
| KR (1) | KR102595399B1 (enExample) |
| CN (1) | CN107924491A (enExample) |
| WO (1) | WO2017023551A2 (enExample) |
Families Citing this family (47)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170178346A1 (en) * | 2015-12-16 | 2017-06-22 | High School Cube, Llc | Neural network architecture for analyzing video data |
| US11188823B2 (en) * | 2016-05-31 | 2021-11-30 | Microsoft Technology Licensing, Llc | Training a neural network using another neural network |
| DE102016008218A1 (de) * | 2016-07-06 | 2018-01-11 | Audi Ag | Verfahren zum verbesserten Erkennen von Objekten durch ein Fahrerassistenzsystem |
| US11095590B2 (en) * | 2016-09-28 | 2021-08-17 | International Business Machines Corporation | System and method for enhanced chatflow application |
| US10719770B2 (en) | 2016-09-28 | 2020-07-21 | International Business Machines Corporation | System and method for enhanced chatflow application |
| US10417530B2 (en) | 2016-09-30 | 2019-09-17 | Cylance Inc. | Centroid for improving machine learning classification and info retrieval |
| US10621210B2 (en) * | 2016-11-27 | 2020-04-14 | Amazon Technologies, Inc. | Recognizing unknown data objects |
| US10747994B2 (en) * | 2016-12-28 | 2020-08-18 | Captricity, Inc. | Identifying versions of a form |
| CN108269224B (zh) * | 2017-01-04 | 2022-04-01 | 意法半导体股份有限公司 | 可重新配置的互连 |
| CN110651276A (zh) | 2017-03-17 | 2020-01-03 | 纽拉拉股份有限公司 | 标注和标记用于深度神经网络和神经网络应用的数据流的在线增量实时学习 |
| US11531876B2 (en) * | 2017-03-29 | 2022-12-20 | University Of Florida Research Foundation, Incorporated | Deep learning for characterizing unseen categories |
| US10242486B2 (en) * | 2017-04-17 | 2019-03-26 | Intel Corporation | Augmented reality and virtual reality feedback enhancement system, apparatus and method |
| US11829848B2 (en) | 2017-05-09 | 2023-11-28 | Microsoft Technology Licensing, Llc | Adding negative classes for training classifier |
| US20180330238A1 (en) | 2017-05-09 | 2018-11-15 | Neurala, Inc. | Systems and methods to enable continual, memory-bounded learning in artificial intelligence and deep learning continuously operating applications across networked compute edges |
| US20180336439A1 (en) * | 2017-05-18 | 2018-11-22 | Intel Corporation | Novelty detection using discriminator of generative adversarial network |
| JP6967201B2 (ja) * | 2017-09-26 | 2021-11-17 | 株式会社アイシン | 情報処理装置 |
| CN113536019B (zh) | 2017-09-27 | 2025-01-07 | 深圳市商汤科技有限公司 | 一种图像检索方法、装置及计算机可读存储介质 |
| KR102018788B1 (ko) * | 2017-12-15 | 2019-11-04 | 서울시립대학교 산학협력단 | 이미지 분류 시스템 및 방법 |
| US10528800B2 (en) * | 2018-01-10 | 2020-01-07 | International Business Machines Corporation | Automated facial recognition detection |
| JP6933164B2 (ja) * | 2018-03-08 | 2021-09-08 | 株式会社Jvcケンウッド | 学習用データ作成装置、学習用モデル作成システム、学習用データ作成方法、及びプログラム |
| WO2019226670A1 (en) | 2018-05-21 | 2019-11-28 | Neurala, Inc. | Systems and methods for deep neural networks on device learning (online and offline) with and without supervision |
| US20200057918A1 (en) * | 2018-08-17 | 2020-02-20 | Perfect Price, Inc. | Systems and methods for training artificial intelligence to predict utilization of resources |
| CN109635863B (zh) * | 2018-12-06 | 2023-08-25 | 邵凌霜 | 智能判断用户乘车的方法和装置 |
| US11687761B2 (en) * | 2018-12-11 | 2023-06-27 | Amazon Technologies, Inc. | Improper neural network input detection and handling |
| JP7492226B2 (ja) * | 2018-12-13 | 2024-05-29 | 成典 田中 | 移動物追跡装置 |
| US10621473B1 (en) * | 2019-01-30 | 2020-04-14 | StradVision, Inc. | Method for providing object detecting system capable of updating types of detectable classes in real-time by using continual learning and devices using the same |
| US11790275B2 (en) * | 2019-04-18 | 2023-10-17 | Teledyne Scientific & Imaging, Llc | Adaptive continuous machine learning by uncertainty tracking |
| CN110047506B (zh) * | 2019-04-19 | 2021-08-20 | 杭州电子科技大学 | 一种基于卷积神经网络和多核学习svm的关键音频检测方法 |
| CN110188197B (zh) * | 2019-05-13 | 2021-09-28 | 北京一览群智数据科技有限责任公司 | 一种用于标注平台的主动学习方法及装置 |
| US20220245728A1 (en) * | 2019-06-24 | 2022-08-04 | Fergal MCGUINNESS | System for evaluating and replicating acturial calculation patterns using neural imaging and method thereof |
| EP3864577B1 (en) * | 2019-06-25 | 2023-12-13 | Owkin, Inc. | Systems and methods for image preprocessing |
| JP7486079B2 (ja) * | 2019-06-25 | 2024-05-17 | パナソニックIpマネジメント株式会社 | 情報処理方法、及び、情報処理システム |
| US11586982B2 (en) | 2019-09-18 | 2023-02-21 | Samsung Electronics Co., Ltd. | Electronic and atomic structure computation utilizing machine learning |
| US11537898B2 (en) | 2019-10-02 | 2022-12-27 | Samsung Electronics Co., Ltd. | Generative structure-property inverse computational co-design of materials |
| JP7270127B2 (ja) | 2019-10-07 | 2023-05-10 | パナソニックIpマネジメント株式会社 | 分類システム、分類方法、及びプログラム |
| JP7563387B2 (ja) * | 2019-11-19 | 2024-10-08 | 株式会社レゾナック | 機械学習装置、方法、プログラム、およびシステム |
| KR20220160536A (ko) * | 2020-03-31 | 2022-12-06 | 도레이 카부시키가이샤 | 데이터 분류 장치, 데이터 분류 방법, 및 데이터 분류 프로그램 |
| JP7354063B2 (ja) * | 2020-05-14 | 2023-10-02 | 株式会社東芝 | 分類システム、プログラム及び学習システム |
| JP7101920B2 (ja) * | 2020-05-15 | 2022-07-15 | 三菱電機株式会社 | 攻撃検知システム、攻撃検知方法および攻撃検知プログラム |
| DE102020209130B4 (de) * | 2020-07-21 | 2023-05-11 | Magna Exteriors Gmbh | Verkleidungsanordnung zur Verkleidung eines Karosserieelements für ein Kraftfahrzeug, sowie ein Verfahren zur zwangsgesteuerten Verlagerung einer Luftleitvorrichtung einer Verkleidungsanordnung |
| JP7552287B2 (ja) * | 2020-11-25 | 2024-09-18 | セイコーエプソン株式会社 | 物体検出方法、物体検出装置、及び、コンピュータープログラム |
| CN116997896A (zh) * | 2021-03-23 | 2023-11-03 | 高通股份有限公司 | 用于恢复嵌入式系统上的顺序传感器数据的分类的状态变化检测 |
| US12022358B2 (en) * | 2021-04-13 | 2024-06-25 | Qualcomm Incorporated | Self-supervised passive positioning using wireless data |
| US11803575B2 (en) * | 2022-01-24 | 2023-10-31 | My Job Matcher, Inc. | Apparatus, system, and method for classifying and neutralizing bias in an application |
| CN114241526B (zh) * | 2022-02-28 | 2022-05-17 | 南京甄视智能科技有限公司 | 分类模型、训练方法、分类方法、电子设备及存储介质 |
| JP2023132261A (ja) * | 2022-03-10 | 2023-09-22 | 株式会社日本総合研究所 | 情報処理方法、情報処理プログラム、及び情報処理装置、並びに学習済みモデル |
| US12368503B2 (en) | 2023-12-27 | 2025-07-22 | Quantum Generative Materials Llc | Intent-based satellite transmit management based on preexisting historical location and machine learning |
Family Cites Families (4)
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| WO2009090584A2 (en) * | 2008-01-18 | 2009-07-23 | Koninklijke Philips Electronics N.V. | Method and system for activity recognition and its application in fall detection |
| US8386401B2 (en) * | 2008-09-10 | 2013-02-26 | Digital Infuzion, Inc. | Machine learning methods and systems for identifying patterns in data using a plurality of learning machines wherein the learning machine that optimizes a performance function is selected |
| 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 |
| JP5828552B2 (ja) * | 2011-12-22 | 2015-12-09 | 本田技研工業株式会社 | 物体分類装置、物体分類方法、物体認識装置及び物体認識方法 |
-
2015
- 2015-09-09 US US14/849,518 patent/US20170039469A1/en not_active Abandoned
-
2016
- 2016-07-20 JP JP2018505589A patent/JP6776331B2/ja active Active
- 2016-07-20 EP EP16745332.3A patent/EP3332362B1/en active Active
- 2016-07-20 CN CN201680045335.2A patent/CN107924491A/zh active Pending
- 2016-07-20 WO PCT/US2016/043146 patent/WO2017023551A2/en not_active Ceased
- 2016-07-20 KR KR1020187002991A patent/KR102595399B1/ko active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP3332362A2 (en) | 2018-06-13 |
| EP3332362B1 (en) | 2024-10-30 |
| JP2018528525A (ja) | 2018-09-27 |
| WO2017023551A3 (en) | 2017-04-13 |
| US20170039469A1 (en) | 2017-02-09 |
| KR20180037192A (ko) | 2018-04-11 |
| BR112018002248A2 (pt) | 2018-09-18 |
| WO2017023551A2 (en) | 2017-02-09 |
| CN107924491A (zh) | 2018-04-17 |
| KR102595399B1 (ko) | 2023-10-27 |
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