svm-grid_openmp

x86 arch资料，易于理解intel x86架构(x86 arch)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

可变形部件模型Deformable Part Models是目前最好的目标检测算法(Deformable component model Deformable Part Models is the best target detection algorithm)

remote sensing for texture

说明：  C 语言学习教程 唐浩强著 很实用 适合初学者(C language learning was very useful tutorial for beginners Tang Haojiang )

对于3-RRR型机械臂，根据自身特性，结合运动学特性，实现仿真。(For the 3-RRR-type robot arm, in accordance with its own characteristics, combined with kinematics characteristic of the realization of simulation.)

Generation of room impulse genration with thiran filter

matlab中libsvm工具箱得到的model结构体中每个部分的含义(Libsvm toolbox in matlab to get the meaning of each part in the model structure )

an butterworth lowpass filter

It s also very interesting code