| 1. | For the sake of sparseness of edge pixels , the matching area may big enough to find an accurate corresponding edge pixel
由于边缘点的稀疏，匹配时选用的区域可以大些，可以得到准确的匹配点。 |
| 2. | Another corner is set up as a hakka peasant family s dwelling , the sparseness of the furnishings reflects the hakka people s frugal life style
展场的另一角介绍客家人的农耕生活，村屋内简朴的陈设充分反映客家人艰苦检朴的生活。 |
| 3. | The relative frequency training ( rft ) method is used to estimate the model parameters . and the problem of the data sparseness is solved through the backing off data smoothing algorithm
同时采用了回退式参数平滑算法来解决了一阶隐马尔可夫模型的数据稀疏问题。 |
| 4. | The holistic features are extracted by principal component analysis ( pca ) , and the local features are extracted by non - negative matrix factorization with sparseness constraints ( nmfs )
首先通过主元分析算法( pca )提取全局特征,利用带稀疏限制的非负矩阵分解算法( nmfs )提取局部特征。 |
| 5. | Second , a new wavelet - based denoising method without free parameters is proposed which is based on the sparseness and decorrelation properties of the discrete wavelet transform
首先提出了一种基于相关邻域模型的sar图像rcs重构方法。其次，利用离散小波变换的稀疏性和减相关性进行sar图像滤波。 |
| 6. | A model - based recommendation algorithm was proposed , which uses multi - level association rules ( mar ) to alleviate those problems about data sparseness and scalability of the recent recommendation algorithm
摘要提出一种基于多层关联规则( mar )的推荐算法，着重解决目前推荐算法的稀疏性问题和可扩展性问题。 |
| 7. | Abstract a model - based recommendation algorithm was proposed , which uses multi - level association rules ( mar ) to alleviate those problems about data sparseness and scalability of the recent recommendation algorithm
摘要提出一种基于多层关联规则( mar )的推荐算法，着重解决目前推荐算法的稀疏性问题和可扩展性问题。 |
| 8. | What we show in this paper ( the second part ) is that although the sparseness of the contingency table is an aspect that would affect the power of j ^ , the affect of the weight is also important and should not be ignored
为了改进检验的效果，本文通过给tmhet的各项以合理的不同的权而得到一个新的加权统计量，并且比较了两者的功效。 |
| 9. | In this thesis , we mainly use snmf ( sparse nonnegative matrix factorization ) as the method of rank reduction , which extend the nmf to include the option to control sparseness explicitly
本文主要采用snmf (非负稀疏矩阵分解)算法作为降维和提取特征向量的工具,该算法是在nmf算法的基础上加上显式地稀疏因子控制而形成的一种非负矩阵分解方法。 |
| 10. | This method effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information , and also imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism
此外,选择聚类择优后的一类信息参与rocchio自适应学习与更新,能够有效地削弱阈值偏见性和伪相关反馈排序偏见性造成的负面影响。 |
