sparse coding造句
例句与造句
- in the development of neural network ? s architectures, a sparse coding is put forward
在结构设计中，提出了稀疏化的编码方法。 - thus, the recognition performance of sparse coding is better than traditional eigenface-based methods
稀疏编码能够增加图像特征的类间距离，因此效果要优于传统的特征脸方法。 - 2 . based on the energy distribution of facial image, a dct-based sparse coding method is proposed to reduce the computational complexity of the original sparse coding
2.为了减少稀疏编码的计算复杂度，利用人脸图像能量分布的特点，提出了一种基于dct变换的加速算法。 - 2 . based on the energy distribution of facial image, a dct-based sparse coding method is proposed to reduce the computational complexity of the original sparse coding
2.为了减少稀疏编码的计算复杂度，利用人脸图像能量分布的特点，提出了一种基于dct变换的加速算法。 - in this dissertation, the method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric sar images
本文将独立分量分析的噪声模型引入到极化sar系统的图像处理中,结合基于独立分量分析的稀疏编码收缩算法进行极化sar图像相干斑抑制。 - It's difficult to find sparse coding in a sentence. 用sparse coding造句挺难的
- qingyong li; zhiping shi; zhongzhi shi; siwei luo . a selective sparse coding model with embedded attention mechanism . international journal of cognitive informatics and natural intelligence . accepted
施智平，李清勇，史俊，史忠植.集成低层特征和语义信息的相关反馈方法.计算机辅助设计与图形学学报.已录用 - 3 . since traditional sparse coding does not consider the intra-class variations of the features, two new sparse coding algorithms based on reinforcement learning are proposed to increase the classification property of the features
3.针对传统稀疏编码未对特征的类内距离进行有效约束这个缺点，提出了两种基于再励学习的稀疏编码算法。 - 3 . since traditional sparse coding does not consider the intra-class variations of the features, two new sparse coding algorithms based on reinforcement learning are proposed to increase the classification property of the features
3.针对传统稀疏编码未对特征的类内距离进行有效约束这个缺点，提出了两种基于再励学习的稀疏编码算法。 - the main content of this dissertation can be summarized as follow : 1 . a global image feature extraction method based on sparse coding is proposed to extract the feature of human facial images
本论文重点研究了人脸及表情的特征提取与识别问题，论文的主要创新点包括以下几个方面：1.在人脸图像特征提取方面，提出了一种基于稀疏编码的人脸整体特征提取方法。 - according to the characteristics that limited dynamic range of images taken in dense fog, dynamic range stretch as a global enhancement method is used . in order to reduce the effect of noise it brings, sparse coding is adopted
大雾天气下的图像由于其本身灰度范围有限的特点，采用动态范围拉伸的方法进行全局增强，并对其增强后出现的噪声干扰问题利用稀疏编码技术给予解决。 - based on unsupervised learning, sparse coding is suitable to describe images with non-gaussian distribution and can get rid of the high order redundancy among the image pixels . since the basis function of sparse coding has build-in clustering property, it increases the inter-class variations of the features
稀疏编码是一种基于非监督学习的算法，它适合描述具有非高斯分布的数据对象，能够有效地消除图像象素点之间的冗余，并具有内在的聚类特性。 - based on unsupervised learning, sparse coding is suitable to describe images with non-gaussian distribution and can get rid of the high order redundancy among the image pixels . since the basis function of sparse coding has build-in clustering property, it increases the inter-class variations of the features
稀疏编码是一种基于非监督学习的算法，它适合描述具有非高斯分布的数据对象，能够有效地消除图像象素点之间的冗余，并具有内在的聚类特性。 - based on the clustering property of the basis function of sparse coding, a basis function initialization method using fuzzy c mean algorithm is proposed to help the energy function of sparse coding to converge to a better local minimum for recognition . experimental results show that the classification and the sparseness of the features are both improved
经过模糊c均值聚类初始化后的基函数能够让稀疏编码的能量函数收敛到一个更有利于识别的局部最小点，试验结果表明特征的分类性和稀疏性都得到了提高。 - based on the clustering property of the basis function of sparse coding, a basis function initialization method using fuzzy c mean algorithm is proposed to help the energy function of sparse coding to converge to a better local minimum for recognition . experimental results show that the classification and the sparseness of the features are both improved
经过模糊c均值聚类初始化后的基函数能够让稀疏编码的能量函数收敛到一个更有利于识别的局部最小点，试验结果表明特征的分类性和稀疏性都得到了提高。 - the class labels of the training samples are introduced during the training of the basis function to constrain the intra-class variations of the features . the features produced by the new sparse coding have large inter-class variations and small intra-class variations, thus the recognition performance of the reinforcement learning based sparse coding is better than that of traditional sparse coding
在基函数的训练过程中，通过引入训练样本的类别信息来限制特征类内距离的增加，用这类方法获得的特征既有较大的类间距离，又有较小的类内距离，识别性能得到了较大的提高。
更多例句： 下一页