分类效率 meaning in Chinese
classification effectiveness
Examples
- Experimental results show that the recognition rate of the proposed classification strategy is higher than that of the single feature domain method , and the strategy is more efficient than the conventional structural neural network
实验结果表明，动作分类准确率高于传统的单特徵集单分类器的分类方法，且训练、分类效率高于结构化神经网络特徵融合方法。 - We can prove from the result of experiment that the web text mining approach could be more efficient than other classification algorithms whatever in precision , recall rate , or in novelty of knowledge . moreover , the technology is language independence
从实验结果看，基于粗糙集的web文本分类算法无论在分类精度、分类效率，还是知识的新颖程度方面，都比以往分类算法有明显提高；而且，这种技术是语言独立的。 - Compared with the other traditional algorithms , our synergetics based classification has the distinguished superiorities in feature extraction layer . the adjoint vectors representing the statistic feature of fingerprint images make global retrieve possible , promote the classification efficiency and deduce the feature extraction difficulty
与传统特征提取过程不同，伴随向量提取了指纹像素域的统计特征，在指纹库中形成整体检索，有效提高了分类效率，降低了特征提取的难度。 - Interval frame classification is proposed . in this thought , features extract and classification are treated at interval frames instead of each frame , which debases time complexity of classification algorithm . and the methods of using temporal consistency and scene - dependent features are described
提出隔帧分类的思想,将每帧都进行的特征提取与分类处理改为隔帧处理,降低了分类算法的时间复杂度,并描述了利用时间一致性约束和场景相关特征提高分类效率的方法。 - In order to improve the efficiency of classification based on feature matching , the method of azimuth estimation from sar image is studied . a method of target ' s azimuth estimation from sar image using peak featur e based on linear regression is proposed , besides goodish estimation accuracy and high computation efficiency , it can also provide the confidence interval of the estimation , which can meet the need of model - based sar atr system that uses feature very well
为了提高基于特征匹配的saratr系统的分类效率，论文进一步研究了sar图像目标方位角估计方法，提出了一种利用峰值特征基于线性回归的sar目标方位角估计方法，该方法除了具有计算速度快、估计精度较高的特点之外，还能在估计方位角的同时，给出该估计的置信区间，从而能更好地满足利用特征基于模型saratr系统的需要。