Gaussian processes; image motion analysis; image recognition; image representation; mixture models; video coding; BoVW approach; asymmetric Gaussian mixture; bag of visual words; codebook generation improvement; density distribution; feature vector representation; human action recognition; soft assignments; video representation; visual words dictionary; Detectors; Dictionaries; Feature extraction; Hidden Markov models; Histograms; Vectors; Visualization; Gaussian mixture; Unsupervised learning; expectation-maximization; human action recognition;
机译:具有区分性动态高斯混合选择的可靠口音特定单元生成,用于多口音中文语音识别
机译:基于S变换和改进的高斯混合模型的微震信号自动识别方法
机译:使用高斯混合模型和极限学习机改进语音和声门信号中的情绪识别
机译:无限不对称高斯混合模型的背景减数贝叶斯学习
机译:逆协方差的混合:高斯混合的协方差建模及其在自动语音识别中的应用。
机译:视频流中具有帧差异和斑点跟踪的改进的高斯混合背景模型
机译:基于S变换和改进的高斯混合模型的微震信号自动识别方法