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US08699752B2 Adaptive cross partition for learning weak classifiers 有权
用于学习弱分类器的自适应交叉分区

Adaptive cross partition for learning weak classifiers
Abstract:
Systems and methods are disclosed to perform object detection for images from an image sensor by reusing a 1-dimensional feature from a previously learned weak classifier and selecting a new feature to construct a 2-dimensional feature space; and cross partitioning the 2-dimensional space to learn optimal outputs for instances in each domain within a boosting framework.
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