Method and apparatus for adaptive model network on image recognition

摘要

Techniques for forming, designing, generating or building up recognizers using recursive qualifications are described, where the recognizers can be used in any devices or systems with recognition capabilities, such as robotic vision systems, motion detections, artificial intelligence and driverless vehicles. Through respective and recursive observations on a set of actual data, recognizers are generated to reduce the inconsistencies among the observations to produce better recognition accuracies.

主权项

1. A method for generating recognizers for pattern recognition, the method comprising:
receiving in a computing device a set of initial recognizers, wherein the recognizers are generated from a set of training data not required to be representative of a set of actual data, each of the recognizers is dividable as a set of sub-recognizers and each of the sub-recognizers is further dividable as a set of next sub-recognizers till a predefined resolution on the recognizers; performing observations on the set of input data received in the computing device in accordance with the recognizers; and performing recursively and respectively subsequent observations with reduction of inconsistencies on each recursion level, when one of the observations is determined uncertain, wherein a recursion stops when a top level has a set of observations producing consistent interpretations on the set of input data.