SYSTEMS AND METHODS FOR MULTI-INSTANCE LEARNING-BASED CLASSIFICATION FOR STREAMING INPUTS

摘要

A method for multi-instance learning (MIL)-based classification of a streaming input is described. The method includes running a first biased MIL model using extracted features from a subset of instances received in the streaming input to obtain a first classification result. The method also includes running a second biased MIL model using the extracted features to obtain a second classification result. The first biased MIL model is biased opposite the second biased MIL model. The method further includes classifying the streaming input based on the classification results of the first biased MIL model and the second biased MIL model.