机译:基于HMM和SVM的全天空图像序列中极移极光的自动识别
School of Life Sciences and Technology, Xidian University, Xi'an 710071, China;
School of Life Sciences and Technology, Xidian University, Xi'an 710071, China;
SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, China;
SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, China,School of Science, Xidian University, Xi'an 710071, China;
School of Life Sciences and Technology, Xidian University, Xi'an 710071, China;
poleward moving auroras (PMAs); hidden markov model (HMM); support vector machine (SVM); performance metrics; imbalance classification;
机译:基于空间纹理的全天空图像中日间极光的自动分类
机译:TSVM-HMM:基于转导SVM的隐马尔可夫模型,用于自动图像标注
机译:HMM / SVM分类器基于图像序列的交叉口交通事故分类
机译:基于从图像序列中自动提取重要帧的HMM识别多个人的面部表情
机译:使用HMM技术对发音动力学进行建模以实现自动语音识别。
机译:基于CPSO-SVM和IO的腹部CT图像肝癌识别的多实例学习新方法
机译:多帧标记点过程模型的基于ISAR图像序列的目标自动识别