registration

在给定初值和边界的条件下，对偏微分方程组求解( sky_pde_wml0420c , sky_init_wml0420c , sky_bc_wml0420c ， sky_solve_wml0420c )

Matlab7.x图像处理 光盘内容:包括所有基本的图象处理程序。(Matlab7.x image processing contents of the CD-ROM : all the basic image processing.)

RF AMPILIFY CIRCUIT MODEL IN MATLAB

可以完成地震记录的合成，实现地震记录的正演模拟(Synthetic seismogram can be done to achieve forward modeling of seismic records)

说明：  混沌时间序列的MATLAB程序，包括洛伦兹、henon映射等。(These are chaos time series, including Lorenz and Henon map.)

角度和时延联合估计（JADE）算法MATLAB程序,适合学习(Joint angle and delay estimation (JADE) algorithm MATLAB program for learning)

详细讲述了如何用matlab进行程序设计，如何编写高效的程序。(Describe in detail how to use matlab program design, how to write efficient programs.)

自动控制方法中的状态空间模型参数降秩数学算法，分别为 SVD-based method； Krylov-based Order Reduction－－Lanczos algorithm； Krylov-based Order Reduction－－Modified Lanczos algorithm； Krylov-based Order Reduction－－The Arnoldi-algorithm； (Model Order Reduction Algorithms for Statespace-Model of Automating Systems- Follows are the algorithms: SVD-based method； Krylov-based Order Reduction－－Lanczos algorithm； Krylov-based Order Reduction－－Modified Lanczos algorithm； Krylov-based Order Reduction－－The Arnoldi-algorithm；)

通信系统matlab仿真可能用到的程序，比如高斯噪声，功率算法，并联与直联系统的转换等(Telecommunication system may be used in matlab simulation , for instance gaussian noise, power algorithm, parallel and straight league system conversion etc)

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.