| 1. | Face recognition based on local feature fusion
基于局部特征融合的人脸识别 |
| 2. | Recognition of palm - dorsa vein patterns using multiple feature fusion
多特征融合的手背血管识别算法 |
| 3. | Face recognition : an approach based on feature fusion and neural network
一种基于特征融合及神经网络的方法 |
| 4. | Infrared target recognition method based on invariant fuzzy feature fusion
基于不变性模糊特征融合的红外目标识别方法 |
| 5. | New algorithm for image target recognition based on fractal feature fusion
一种新的基于分形特征融合的图像目标识别算法 |
| 6. | Target recognition of fuzzy multi - features fusion based on analytic hierarchy process
基于层次分析模糊特征融合的目标识别 |
| 7. | Based on multi - scale wavelet transform , a multi - feature fusion approach for automatically detecting man - made objects in areas of natural background is proposed
摘要针对自然纹理背景，提出一种基于多尺度小波特徵融合的人造目标检测方法。 |
| 8. | The new feature derived from the multiple features fusion benefits from the advantage of single feature to the pattern classifying , which is superior to each fused feature on terms of the classifying performance
由多个特征融合产生的新特征吸收了单个特征的对模式分类的优势，使它对模式的分类性能优于参与融合的单个特征。 |
| 9. | First , a new method of feature level fusion pattern recognition is presented . feature fusion coefficients are defined to fuse the features extracted from different view of multiple sensors . by evaluating different feature fusion coefficients to different features , we can get the fusion feature of the pattern to be observed
首先，提出一种特征层融合模式识别的方法，定义“特征融合系数”对多传感器视角观察模式所得的不同特征进行融合，通过对不同特征赋以不同的特征融合系数，将多特征进行融合，得到待识别模式的融合特征，从而实现特征层融合。 |
| 10. | Based on analyzing deeply the basal principle and the system structure of the multi - sensors information fusion technology , and according to the model of feature level fusion , the achieving method of fire detection system based on simulated annealing feature level fusion is presented . this method that searches first - rank ‘ feature fusion coefficient ’ through simulated annealing arithmetic can improve the validity property and demote the mis - warning rate
在深入讨论了多传感器信息融合技术的基本原理及体系结构的基础上根据特征层融合的模型提出了基于模拟退火的特征层融合火灾探测系统实现方法,使用模拟退火算法搜索最佳的“特征融合系数” ,从而提高火灾探测的正确性,降低误报率。 |
