发明名称 Analyzing or resolving ambiguities in an image for object or pattern recognition
摘要 Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), large number of images (“Big Data”) analytics, machine learning, training schemes, crowd-sourcing (using experts or humans), feature space, clustering, classification, similarity measures, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability (e.g., using Z-number (e.g., “About 45 minutes; Very sure”)), rules engine, control system, autonomous vehicle, self-diagnosis and self-repair robots, system diagnosis, medical diagnosis, biomedicine, data mining, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, and data compression.
申请公布号 US9171261(B1) 申请公布日期 2015.10.27
申请号 US201514746815 申请日期 2015.06.22
申请人 Z ADVANCED COMPUTING, INC. 发明人 Zadeh Lotfi A.
分类号 G06F17/00;G06N5/02;G06N5/04;G06N99/00 主分类号 G06F17/00
代理机构 代理人 Tadayon Bijan;Tadayon Saied
主权项 1. A method for analyzing or resolving ambiguities in an image for object or pattern recognition, said method comprising: an input device receiving a first image; wherein said first image comprises a first portion; an analyzer module segmenting said first portion out of said first image; said analyzer module determining Z-valuation for a parameter for said first portion with respect to said first image; wherein said Z-valuation for said parameter for said first portion with respect to said first image is based on unsharp or soft class boundary or fuzzy membership function; said analyzer module processing and resolving ambiguities in said first image to a candidate image, from a candidate image database, based on said Z-valuation for said parameter for said first portion with respect to said first image.
地址 Potomac MD US