| 1. | Some experiments on both real and emulated images are discribed
文中给出了用仿真图像和真实图像所做的实验结果。 |
| 2. | The thesis presents some warping results of reality scene images at last
最后给出了几组用真实图像warping的结果。 |
| 3. | One yojana being 7 . 2 kms . , the ancient indian estimates came close to the actual figure
一瑜伽那斯等于7 . 2公里，古代印度估计已经接近真实图像。 |
| 4. | Our approaches developed are applied to both synthetic and real images , and satisfied results are obtained
将所提出的方法用于仿真图像和真实图像，取得了满意的实验结果。 |
| 5. | The algorithin is linear . both simulated and realistic experiments verify our algorithm is right and feasible
模拟实验和真实图像实验也验证了我们所给的算法的正确性与可行性。 |
| 6. | Experimental results of both simulated data and real - world data show that this method has a high accuracy and practical values
模拟实验和真实图像实验结果表明该方法具有较高的求解精度，同时也有一定的应用价值。 |
| 7. | The existing algorithms are effective to simulated data , but to realistic images , they can not effectively estimate the projective depths
已有的算法对模拟数据很有效，但是对于真实图像，它们不能有效地估计射影深度。 |
| 8. | This dissertation also describes the implementation of a non - linear algorithm whose uniform observability , minimal realization and stability had been proven analytically by previous works
并用改进的线性算法对合成图像序列和真实图像序列进行实验，给出了相应的实验结果。 |
| 9. | Experiments with real images indicate that the proposed algorithm performs better than the support vector machine and the relevance vector machine while requiring less training time than the relevance vector machine
基于真实图像的实验表明所提算法优于支持向量机和相关向量机且其训练时间小于相关向量机。 |
| 10. | The vq - based approach assumes a gaussian mixture distribution , which fits real - world image data reasonably well . after estimating this distribution through em method , this approach trains optimized vector quantizers to partition data space
该方法使用更适合真实图像库的高斯混合模型描述数据分布，并训练优化的矢量量化器划分数据空间。 |
