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sparseness

网络  稀少; 稀疏; 稀疏性; 稀疏度; 稀疏化

COCA.37869

英英释义

noun

双语例句

  • The hierarchical clustering method is applied to deal with the problem that the solution of MLS-SVM is lack of sparseness.
    运用谱系聚类方法解决多核最小二乘支持向量机的解缺乏稀疏性的问题。
  • This approach make use of the sparseness of speech signals and the independent characteristics of speech signals. Use the fast quasi-newton method, it greatly simplify the Hessian matrix, and it also greatly increases the speed of operation.
    该方法运用语音信号的稀疏性和语音信号之间相互独立的特性,使用快速相对牛顿法,使得在牛顿法中,求海森阵的步骤大为简化,大大提高了运算速度。
  • The calculation amount and local minimum are reduced taking advantage of sparseness of significant coefficients by wavelet transform.
    利用多尺度之间的内在联系及小波域中重要系数的稀疏性,有效改进了局部极值、计算量等问题。
  • K-space data has sparseness after transformation, in order to achieve sparse data space, we can use wavelet transform to transform the K-space data, then use the sparse sampling imaging.
    K空间数据具有变换稀疏性,可使用小波变换对K空间数据进行变换,得到具有稀疏性的数据空间,再进行稀疏采样成像。
  • This strategy can reduce the data sparseness and keep the search efficiency meanwhile.
    这种优化策略可以在保证该算法数据查找效率不变的同时,进一步减少数据稀疏,提高空间利用率。
  • 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。
  • Based on the clustering method, the mixing matrix was first estimated by a new potential function using the sparseness of sources.
    首先,利用变换后信源的稀疏特征,采用一新的势函数通过聚类算法估计混叠矩阵。
  • The scheme resolves the problem of high dimension and large sparseness in basket data and improves efficiency of clustering.
    使用了一种新的事务表示法,解决了购物篮数据的高维性和稀疏性问题。并对算法进行了相应的改进,从而提高了聚类速度。
  • Data sparseness led by the lack of training data restricts the promotion of the supervised methods.
    由训练语料不足导致的数据稀疏问题限制了有指导方法的推广。
  • 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。