the first change to the mobile development story is improving the out-of-box style sheets so they look good on small screens.

for mobile developers, it's even more exciting as it really opens up the local caching of data.

对于移动开发人员来说，则更为振奋人心，因为它真正开启了数据的本地高速缓存。

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you can look at four approaches to mobile application development.

您可以看到进行移动开发的4种方法。

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in the last article in this four-part series, explore another project that also takes the embrace-the-web approach to mobile, sencha.

在这个4部分系列的最后一篇文章中，将介绍另一个利用“联网”的方法进行移动开发的项目Sencha。

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deviceanywhere offers complete solutions for the mobile development lifecycle.

DeviceAnywhere为移动开发生命周期提供完整的解决方案。

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from our mobile development perspective, the wsdl document you want to consume will typically already exist, so all you have to do is generate the jsr172 wsa stubs.

从我们移动开发的角度来看，需要消费的WSDL文档通常已经存在，您需要做的仅仅是生成JSR172WSA存根。

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mobl is not the only dsl for mobile development.

mobl不仅仅是针对移动开发的DSL。

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ionic is a high-performance mobile development framework that contains a host of mobile-optimized components to help you quickly build attractive and easy-to-use mobile applications.

Ionic是一个高性能的移动开发框架，它包含大量移动优化的组件，可帮助您快速构建富有吸引力的、容易使用的移动应用程序。

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in the image processing domain, sparse representation of images has important significance in both theory and the applications.

在图像处理领域，图像的稀疏表示有着重要的理论和应用意义。

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we impose the notion of sparse representation to feature selection methods and propose a novel feature selection algorithm.

本文将稀疏表示引入特征选择方法的框架中，提出了一种全新的基于稀疏表示的特征选择算法。

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according to sparse representation theory, the signal sparse is the main factor which affects the reconstruction precision.

由稀疏表示理论可知，信号的稀疏性是影响重构精度的重要因素。

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the classic algorithms of dual-band image fusion and the methods of night-vision image colorization are summarized and discussed.

论文首先阐述了图像融合以及彩色夜视理论，对双波段图像融合经典算法以及夜视图像彩色化方法进行了总结和探讨，并介绍了图像稀疏表示方法，为下文奠定理论基础。

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based on this assumption, this thesis proposes a content-based motion retrieval algorithm by using sparse representation theory.

在这个假设前提下，本文在稀疏表示理论的基础上提出了一种基于内容的检索算法。

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by combining laplace sparse coding and the kernel sparse representation, we propose kernel laplace sparse coding.

我们将这种核稀疏表示与现有的拉普拉斯稀疏编码进行了结合，提出了核拉普拉斯稀疏编码。

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nowadays, due to the excellent characteristics of image sparse representation, numerous algorithms have been developed.

由于图像稀疏表示的优良特性，目前针对图像的稀疏表示已经发展了多种算法。

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efficient sparse representation and processing of unstable signal are the main contents in mathematics and information science.

非平稳信号的稀疏表示和高效处理算法是数学和信息科学研究的重要内容，其中，近年来建立起来的小波理论与算法已经成为信号稀疏表示的有效方法。

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for practical applications, the image sparse representation must be implemented through structural transforms and fast algorithm.

对于实际应用而言，图像稀疏表示一定要通过结构变化及快速算法来实现。

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this paper proposes a method to evaluate color image quality by using hypercomplex adaptive sparse dictionary.

另外，本文还利用超复数自适应稀疏表示字典对彩色图像进行了质量评估。

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automatic detection of epileptiform transients in eeg by a two-stage algorithm based on sparse representation

基于稀疏表示的两阶段脑电癫痫波检测算法研究

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a simultaneous image fusion and super resolution method based on sparse representation is proposed.

提出了一种基于稀疏表示的同步图像融合和图像超分辨率算法。

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sparse representation problem is important for information transmission, signal encoding and compression.

信号稀疏表示对于信息传输、信号编码和压缩都具有重要意义。

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