IIEC06_219_1533620

matlab keyongyuzixuedekejian

用mathlab实现Gauss算法，gauuss算法是科学计算中一个非常著名的常用算法 (Gauss algorithm, using mathlab gauuss algorithm is a very well-known scientific computing commonly used algorithm)

地震勘探中，利用有限差分方法做波场正演模拟，模型为简单层状模型(Seismic exploration, the finite difference method to do forward modeling of wave field, the model for the simple layered model)

采用k空间方法仿真超声声场及光声、剪切波传播等的专用matlab工具箱程序包，能模拟非均匀介质情况下的波动传播情况，功能强大，(k-wave toolbox for ultrasound simulation)

The source code is about motion estimation algorithm for FRUC using ARPS method

matlab的简单例子 可以用来入门学习(matlab simple example can be used to study entry)

说明：  里面有详细的反步法仿真的例子，共有9个实例。非常适合初学者使用。(There are detailed examples of backstepping simulation, a total of 9 examples. It is very suitable for beginners.)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

说明：  不错的matlab通信工具箱使用，强力推荐(Good matlab communication toolbox to use, highly recommended)

说明：  一个简单的在图像上做标记的实现算法,通过此算法可以大体了解图像处理标记的基本算法原理(A simple marking in the image on the realization of algorithms, this algorithm can generally understand the basic image processing algorithm tag)