SYSTEMS AND METHODS FOR CORRECTING ERROR IN A FIRST CLASSIFIER BY EVALUATING CLASSIFIER OUTPUT IN PARALLEL
Systems and methods for classifying a test object are provided. For each respective target object in a plurality of target objects, a first procedure is performed comprising (a) posing the test objectagainst the respective target thereby obtaining an interaction between the test and target, and (b)...
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Zusammenfassung: | Systems and methods for classifying a test object are provided. For each respective target object in a plurality of target objects, a first procedure is performed comprising (a) posing the test objectagainst the respective target thereby obtaining an interaction between the test and target, and (b) scoring the interaction with a first classifier. Each such score across the plurality of targets forms a test vector that is inputted into a second classifier thereby obtaining an indication of a target object. The second classifier is trained on training vectors, each being the output from instances of the first classifier after inputting a corresponding training object in a plurality of training objects in accordance with the first procedure. Each object in one subset of the training objectsis uniquely associated with one of the targets. Another subset of the training objects is not associated with the targets.
提供了用于对测试对象进行分类的系统和方法。对于多个目标对象中的每个相应目标对象执行第一过程,该第一过程包括:(a)将所述测试对象贴靠相应的目标摆放,从而获得所述测试与所述目标之间的相互作用,以及(b)使用第 |
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