sparse coding中文是什么意思

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中文翻译
造句

稀疏编码(技术，方法)

sparse adj. 1.(树木分布等)稀的；(交通车辆等)稀疏的。 2.(人口、毛发等)稀少的。 3.(雨量)稀缺的；瘦小的。 sparse beard 稀疏的胡须。 a country of sparse population 人口稀少的小国。 n. -sity ,-ly adv.,-ness n.
coding n. 编码；译成电码。
coding for 编码
a sparse beard 疏疏的几根胡子
copious - sparse 大量
data sparse 数据稀疏
sparse and scattered 稀疏零落
sparse array 稀疏数组
sparse bristle 秃头鬃毛笔
sparse camel 秃头驼毛笔
sparse concealment 稀疏隐蔽
sparse file 稀疏文件
sparse flat 秃头平笔
sparse foliage 叶子稀疏
sparse graph 稀疏图
sparse hair 稀疏的头发
sparse index 稀疏索引
sparse insertion 稀插法
sparse inverse 稀疏逆矩阵
sparse matrices 稀疏矩阵
sparse matrix 稀疏矩阵; 稀巯阵
sparse pubescence 稀疏毛类型; 稀疏茸毛
sparse rearing 薄饲
sparse seeding 稀播
sparse signals 稀疏信号

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例句与用法

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。
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。