Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI USA;
Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI USA,Department of Computer Science, Michigan Technological University, Houghton, MI USA;
Department of Computer Science, Michigan Technological University, Houghton, MI USA;
Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI USA;
Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI USA;
Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI USA;
e xplosive hazards; ground penetrating radar; robust principal component analysis; feature representation; signal processing;
机译:通过使用增强的鲁棒主成分分析和数据融合技术,平板结构中的强大损坏定位
机译:通过Rank-1和鲁棒主成分分析框架上的Rank-1和总变化正规化的视频去噪和移动物体检测
机译:基于在线块稳健的主成分分析分解的移动对象检测
机译:埋地对象检测鲁棒主成分分析技术的比较,向下寻找GPR传感器数据
机译:使用GPR进行地雷探测的成像方法的比较,以及对SEM进行初步调查以识别掩埋物体的方法。
机译:RNA-SEQ数据中精确异常样本检测的强大主成分分析
机译:用选择性独立分量分析探测埋地对称形状矿体目标
机译:主成分分析在反应堆事故后果评估中的应用及与其他技术的比较