EP3607435 - METHODS AND SYSTEMS FOR BOOSTING DEEP NEURAL NETWORKS FOR DEEP LEARNING [Right-click to bookmark this link] | Status | Examination is in progress Status updated on 17.02.2023 Database last updated on 26.07.2024 | |
Former | Request for examination was made Status updated on 10.01.2020 | ||
Former | The international publication has been made Status updated on 13.10.2018 | Most recent event Tooltip | 23.03.2024 | New entry: Renewal fee paid | Applicant(s) | For all designated states Intel Corporation 2200 Mission College Boulevard Santa Clara, CA 95054 / US | [2020/07] | Inventor(s) | 01 /
WANG, Libin 9F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 02 /
GUO, Yiwen 8F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 03 /
YAO, Anbang 8F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 04 /
CAI, Dongqi 8F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 05 /
XU, Lin 8F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 06 /
HU, Ping 8F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 07 /
WANG, Shandong 8F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 08 /
CHENG, Wenhua 8F Raycom Infotech Park A No.2 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 / CN | 09 /
CHEN, Yurong Room 503 Unit 1 Building 4 Qingfenghuajingyuan Haidian District Beijing 100085 / CN | [2020/07] | Representative(s) | Goddar, Heinz J. Boehmert & Boehmert Anwaltspartnerschaft mbB Pettenkoferstrasse 22 80336 München / DE | [2020/07] | Application number, filing date | 17904853.3 | 07.04.2017 | [2020/07] | WO2017CN79774 | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | WO2018184224 | Date: | 11.10.2018 | Language: | EN | [2018/41] | Type: | A1 Application with search report | No.: | EP3607435 | Date: | 12.02.2020 | Language: | EN | The application published by WIPO in one of the EPO official languages on 11.10.2018 takes the place of the publication of the European patent application. | [2020/07] | Search report(s) | International search report - published on: | CN | 11.10.2018 | (Supplementary) European search report - dispatched on: | EP | 22.10.2020 | Classification | IPC: | G06N3/08, G06N3/04, G06N3/063, G06N20/20, G06T1/20 | [2020/48] | CPC: |
G06N3/08 (EP,US);
G06F18/2148 (US);
G06F18/217 (US);
G06N3/045 (EP,US);
G06N3/063 (EP,US);
G06T1/20 (EP,US)
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Former IPC [2020/07] | G06F9/30 | Designated contracting states | AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2020/07] | Title | German: | VERFAHREN UND SYSTEME ZUR VERSTÄRKUNG VON TIEFEN NEURONALEN NETZEN FÜR TIEFENLERNEN | [2020/07] | English: | METHODS AND SYSTEMS FOR BOOSTING DEEP NEURAL NETWORKS FOR DEEP LEARNING | [2020/07] | French: | PROCÉDÉS ET SYSTÈMES PERMETTANT D'AMPLIFIER DES RÉSEAUX NEURONAUX PROFONDS POUR UN APPRENTISSAGE EN PROFONDEUR | [2020/07] | Entry into regional phase | 28.06.2019 | National basic fee paid | 28.06.2019 | Search fee paid | 28.06.2019 | Designation fee(s) paid | 28.06.2019 | Examination fee paid | Examination procedure | 28.06.2019 | Examination requested [2020/07] | 18.05.2021 | Amendment by applicant (claims and/or description) | 16.02.2023 | Despatch of a communication from the examining division (Time limit: M06) | 16.08.2023 | Reply to a communication from the examining division | 13.09.2024 | Date of oral proceedings | Fees paid | Renewal fee | 28.06.2019 | Renewal fee patent year 03 | 31.03.2020 | Renewal fee patent year 04 | 15.04.2021 | Renewal fee patent year 05 | 20.03.2022 | Renewal fee patent year 06 | 21.03.2023 | Renewal fee patent year 07 | 22.03.2024 | Renewal fee patent year 08 |
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Documents cited: | Search | [A]WO2014105865 (GOOGLE INC [US]) [A] 1-11* figure 2 *; | [XI] - Anonymous, "Adaboost with neural networks", (20170404), URL: https://stackoverflow.com/questions/35691636/adaboost-with-neural-networks, (20201013), XP055739555 [X] 1-5,9-11 * the whole document * [I] 6-8 | [X] - WU CHI-HAO ET AL, "Boosted Convolutional Neural Networks (BCNN) for Pedestrian Detection", 2017 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), IEEE, (20170324), doi:10.1109/WACV.2017.66, pages 540 - 549, XP033096837 [X] 1-11 * figures 1, 6 * * page 542 * * page 564, column left * DOI: http://dx.doi.org/10.1109/WACV.2017.66 | International search | [A]CN103544705 (UNIV SOUTH CHINA TECH) [A] 1-20 * the whole document *; | [A]US2016026912 (FALCON AYOSE J [ES], et al) [A] 1-20 * description, paragraphs [0080]-[0104], figures 9-13C *; | [A] - HOEHFELD, MARKUS et al., "Learning with Limited Numerical Precision Using the Cascade- Correlation Algorithm", IEEE TRANSACTIONS ON NEURAL NETWORKS, (19920731), vol. 3, no. 4, XP000290667 [A] 1-20 * , the whole document * DOI: http://dx.doi.org/10.1109/72.143374 | by applicant | - ANONYMOUS, Adaboost with neural networks, (20160200), URL: https://stackoverflow.com/questions/35691636/adaboost-with-neural-networks |