1. In this paper, an improved algorithm of image feature extracting for independent component analysis was proposed based on basic functions' maximization of sparseness. 利用基函数稀疏性的极大值特点，本文提出一种改进的基于独立分量分析的图像特征提取算法。
2. Support Vector Regression is an important kind of method for regression problems. The predicting speed of Support Vector Regression is proportional to its sparseness. 支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。
3. The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast. 对多个分类问题的测试表明，HS-LSSVM具有稀疏率高，分类性能强，且稀疏化速度较快等优点。
英英解释
n.
1. the property of being scanty or scattered; lacking denseness
