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1. (WO2017132846) ADAPTIVE BOOSTING MACHINE LEARNING
Latest bibliographic data on file with the International Bureau

Pub. No.: WO/2017/132846 International Application No.: PCT/CN2016/073227
Publication Date: 10.08.2017 International Filing Date: 02.02.2016
IPC:
G06K 9/62 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
Applicants:
NOKIA TECHNOLOGIES OY [FI/FI]; Karaportti 3, Espoo 02610, FI
NAVTEQ (SHANGHAI) TRADING CO., LTD. [CN/CN]; Room 2930, 2933 and 2942, North Tower, Kerry Center No. 1515 Nanjing Road West, Jing'an District Shanghai 200040, CN (LC)
Inventors:
SHANG, Chubo; CN
Agent:
KING & WOOD MALLESONS; 20th Floor, East Tower, World Financial Centre, No. 1 Dongsanhuan Zhonglu, Chaoyang District Beijing 100020, CN
Priority Data:
Title (EN) ADAPTIVE BOOSTING MACHINE LEARNING
(FR) APPRENTISSAGE MACHINE D'AMÉLIORATION ADAPTATIVE
Abstract:
(EN) An apparatus comprising memory configured to store data to be machine-recognized(710), and at least one processing core configured to run an adaptive boosting machine learning algorithm with the data, wherein a plurality of learning algorithms are applied, wherein a feature space is partitioned into bins, wherein a distortion function is applied to features of the feature space(720), and wherein a first derivative of the distortion function is not constant(730).
(FR) La présente invention concerne un appareil comprenant une mémoire configurée afin de stocker des données devant être reconnues par la machine (710), et au moins un cœur de traitement configuré pour faire fonctionner un algorithme d'apprentissage machine d'amélioration adaptative avec les données, une pluralité d'algorithmes d'apprentissage étant appliquée, un espace caractéristique étant compartimenté en emplacements, une fonction de distorsion étant appliquée aux caractéristiques de l'espace caractéristique (720), et un premier dérivé de la fonction de distorsion étant inconstant (730).
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)
Also published as:
CN108701238EP3411832US20190042889