文档矢量的稀疏度直接影响计算资源的开销，这里的资源包括稀疏矢量所消耗的存储资源和进行运算所耗费的时间。
Sparsity of vector impact the cost of computing resources directly, the resources here involve both system memory and time cost for computing.
基于秩- 1更新，提出了稀疏贝叶斯学习算法(SBLA)。该算法具有较低的计算复杂度和较高的稀疏性，从而适合于求解大规模问题。
Based on a rank-1 update, we propose sparse Bayesian Learning Algorithm (SBLA), which has low complexity and high sparseness, thus being very suitable for large-scale problems.
针对高属性维稀疏数据聚类问题，提出高属性维稀疏信息系统概念，给出一种新的基于稀疏特征差异度的动态抽象聚类方法。
The concepts of high attribute dimensional information system are firstly proposed, and a new dynamic clustering method on the basis of sparse feature difference degree is presented.
同时，植物组成种类相对较少、层次较为简洁、密度较为稀疏、色彩富于变化则有利于提高景观的美景度。
Meanwhile, relatively less species composition, relatively simpler level, relatively sparser density and richly varied color will be conducive to scenic beauty improvement.
针对目前冗余字典下信号稀疏分解常用算法计算复杂度高的问题，提出一种分组匹配追踪算法。
For the extremely high complexity of usual algorithms for sparse decomposition, a new group matching pursuit algorithm is presented based on a redundant dictionary with several orthonormal bases.
针对目前冗余字典下信号稀疏分解常用算法计算复杂度高的问题，提出一种分组匹配追踪算法。
For the extremely high complexity of usual algorithms for sparse decomposition, a new group matching pursuit algorithm is presented based on a redundant dictionary with several orthonormal bases.
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