interference-improvement-for-coginative-power-all

code for image processing, opening closing of an image, converting files from RGB, algorithm for extracting the edge

Mediante este archivo se puede modular una senal en FM

MATLAB从入门到精通_配套光盘.rarMATLAB从入门到精通_配套光盘.rarMATLAB从入门到精通_配套光盘.rarMATLAB从入门到精通_配套光盘.rar(matlab matlab)

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.

SVM很全的matlab代码和详细说明 以及调用SVM的函数 有例子(SVM most code and data)

Lorem ipsum pcf795487

3种jacobi迭代算法，即将Ax=b，转换为A=D-L-U，进而x=Bx+f(3 kinds of jacobi iterative algorithm, ie Ax = b, converted to A = DLU, and then x = Bx+ f)

一个非常基础的求最大值的程序，适合初学者。(Maximum demand in a very basic program for beginners.)

This submission contains an interface to a LBFGS-code for unconstrained minimization problems of the form min_{x} f(x) + c*| ilde{x}|, where x are the parameters, f is a scalar valued real function, c is a positive scalar (default value=0), |.| denotes the 1-norm, and ilde{x} is some subset of the parameters x.

simulation UPQC in matlab using state space model