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Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. Based on an approach we have developed previously, we investigate combining machine learning techniques and hybrid image statistics for probabilistic branching node inference, using adaptive boosting as a probabilistic inference framework. Then, we use local image statistics...
For the difficulties of the high dimensions and the complex environment in the video surveillance, a face detection method based on Locality Preserving Projections (LPP) incorporated with Adaboost is proposed. The LPP based features are extracted to reveal the local manifold structure of the faces using linear method. Then, the weak classifiers are constructed on LPP features according to the minimum...
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