We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al

语音识别端点检测的几种重要算法，特别适用于在车载环境中使用，效果不错-Comparison of Some Algorithms for Endpoint Detection for Speech Recognition Device Used in Cars