1·Studying the K-L transformation applied in character features extraction.
研究k - L变换在字符特征抽取中的应用。
2·Your character features will not change, but you will have greater knowledge of this world and others.
你的人格不略改变，但你对世界及其种种的认知已经更深一个境界。
3·Through the analysis of character features, confirm the input layer, hidden layer and the License of output layer units.
通过对字符特征的分析，确定输入层，隐含层，输出层单元数目。
4·The study also fills up vacancy of Chinese Taekwondo player's character features and perception of competition situation.
同时本研究也填补了我国跆拳道运动员性格特征和比赛情境认知方面的空白。
5·Studied the influence which character features have on the classification rate, and the performance of the combined features.
研究了在粗分类中汉字特征选择对汉字识别性能的影响，研究了不同特征进行组合后组合特征的识别性能。
6·We'll get started by examining each individual shape to see which character features could be associated with the different areas of the shape.
我们将开始通过检查每个人的形状，看看哪些性格特征可与形状的不同区域相关联。
7·You will also be able to understand your general attitude towards life and spot any negative character features (e. g. greed or hatred) you may have.
同样，你也可以看到自身对待人生的态度，了解自己可能会有的一些不好的性格特点，如贪婪，仇恨。
8·The character features that are unchanged by its rotating, parallel moving, size and its position transforming and corresponding recognition algorithm are got.
最后得到了不受字符旋转、平移、大小、位置影响的字符特征，以及相应的识别算法。
9·More attention is given to character features and competition situation etc. that can affect player's performance as the technical level becomes increasingly closer.
随着跆拳道运动员技战术水平的日益接近，人们开始关注技战术以外，能够影响比赛成绩的运动员性格特征、比赛情境等相关因素。
10·The experimental results show that there are fewer extracted character features, faster recognition and higher degree of accuracy, and it is less affected by font size.
实验结果表明提取特征少，识别速度快，准确率高，受字号的影响较小。