机译:基于高斯混合模型的fNIRS脑机接口自适应分类器及其仿真测试
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People's Republic of China;
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People's Republic of China;
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People's Republic of China;
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, People's Republic of China,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People's Republic of China;
functional near infrared spectroscopy; adaptive method, decoding; brain-computer interface; variational Bayes; Gaussian mixture model; variational inference;
机译:基于自适应高斯混合模型参数估计的网球匹配场景分类算法模拟
机译:高斯混合模型的适应性增强混合学习方法基于哭泣的健康和患病婴儿分类
机译:高斯混合模型的适应性增强混合学习方法基于哭泣的健康和患病婴儿分类
机译:基于Fnirs的脑电脑界面使用自适应高斯混合模型分类器和卡尔曼估算器的实时解码
机译:低功耗查找无表高斯混合模型的扬声器分类器
机译:基于自适应特征选择高斯混合模型的局部邻域鲁棒模糊聚类图像分割算法
机译:基于遗传算法的多分类器组合:高斯混合模型框架