K-meansclustering相关论文
Sensing Matrix Optimization for Multi-Target Localization Using Compressed Sensing in Wireless Senso
In the multi-target localization based on Compressed Sensing(CS),the sensing matrix\'s char-acteristic is significant ......
针对低信噪比条件下的语音信号检测性能差的问题,提出了一种基于多窗口时频图的语音活动检测方法.首先,基于多窗口的时频分析计算......
Compared with hyperbolic velocity estimation methods,nonhyperbolic methods (such as shifted hyperbola) are better choice......
The correct data association increases robustness and enhances accuracy in SLAM.It attracts much attention over the past......
Vegetation Segmentation and Weed Detection Methods Based on Histogram and Morphorgical Difference fo
In Korea, the one which has the highest productivity among the upland crops is soybean.The productivity of soybean is th......
Vegetation Segmentation and Weed Detection Methods Based on Histogram and Morphological Difference f
This experiment has been conducted as basic study for development of weed detection technology.Forty-two images obtained......
PURPOSE:Many behavioral and neuroimaging studies have shown that human decisions are sensitive to the statistical moment......
提出了一种基于新的自适应最优聚类的模板匹配跟踪方法。利用模式分类准则计算最优聚类数,然后根据最优聚类数采用k-均值方法进行......
针对真实场景中因行人相互遮挡难以被精确检测的情况,提出一种基于注意力机制的特征提取增强检测算法。首先,通过添加注意力模块学......
为了计算纳米粒子大尺寸聚集体的表面局域电磁场分布并快速对其增强效果进行评价，利用软件中脚本语言编写局部亚网格程序来实现对纳......
提出了基于K-means聚类和SPIHT编码的红外图像压缩算法。通过采用小波域系数的SPIHT编码压缩,克服了JPEG标准压缩算法在低比特率下......
针对暗通道先验去雾算法在处理单幅图像去雾时计算复杂度高且对于天空等高亮区域有局限性而易产生失真的问题,从暗通道模型出发,提......
[目的]通过与标准方法测量对比,比较公式法与K-均值聚类分析法在判断站立位矢状面上骨盆前后倾的准确性.[方法]选取78位健康志愿者......
