在计算最近邻时，引入了兴趣方差的概念，提高了计算最近邻的准确度。
Moreover, the concept of interest variance is adopted to improve the veracity of searching nearest neighbors.
实验证明，本文提出的这种算法在预测精度上较传统的推荐算法和没有引入兴趣方差的推荐算法有很大的提高。
It proves that this method can obtain a better predictive precision, compared with traditional recommendation algorithm and algorithm which don't take into account interest variance.
对于海面图像，分别采用感兴趣舰船目标区域的方差值、目标和背景亮度对比度这两个特征对目标进行融合识别。
As to sea image, the variance feature of region of interest and the luminance contrast feature between target and background are used to fusion recognition.
应用推荐