| 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. |
| 主权项 |
1. A method for analyzing and recognition of an emotion or expression from multimedia, text, or sound track, said method comprising:
an input device receiving a first set of data from a source of multimedia, text, or sound track; wherein said first set of data comprises a first portion; an analyzer module selecting said first portion out of said first set of data; said analyzer module determining Z-valuation for a parameter for said first portion with respect to said first set of data; wherein said Z-valuation for said parameter for said first portion with respect to said first set of data is a restriction on X, defined by:
Prob(X is A) is B; wherein X refers to said parameter for said first portion, A is a Fuzzy set over X, and B is a Fuzzy set restricting probability measure of X being A; said analyzer module recognizing a first emotion or expression, from a candidate emotion or expression database, using a first feature of said first portion with respect to said first set of data, based on said Z-valuation for said parameter for said first portion with respect to said first set of data. |
