资源列表
Motion_Detection
- motion detection people tracking after performing background subtraction and blobs detection use for video suvelliance
sect
- 完成DSSS调制解调功能的matlab程序-Complete DSSS modem functions of the matlab program
condensation-code
- condensation code for tracking multiple people based on bayesian framework
pf_colortracker
- particle filter based on color to track object movement
spam_c_source.tar
- 多目标优化算法——Set Preference Algorithm for Multiobjective Optimization -SPAM is a multiobjective evolutionary algorithm to incorporate preference and has been proposed by Eckart Zitzler, Lothar Thiele, and Johannes Bader at the ETH Zurich.
distance-between-point-and-line
- 计算系列点到系列直线中最近的直线的距离。-Series of points to calculate the most recent series of straight line distance.
semo2_c_source.tar
- 多目标优化算法——Simple Evolutionary Multiobjective Optimizer -SEMO2 is a population-based evolutionary algorithm for multiobjective optimization. This algorithm uses an archive of variable size that stores all non-dominated individuals. Parents are chosen
hype_c_source.tar
- 多目标优化算法——Hypervolume Estimation Algorithm for Multiobjective Optimization -HypE- Hypervolume Estimation Algorithm for Multiobjective Optimization HypE is an hypervolume-based multiobjective evolutionary algorithm and has been proposed by Johannes
femo_c_source.tar
- 多目标优化算法——Fair Evolutionary Multiobjective Optimizer-FEMO (Fair Evolutionary Multiobjective Optimizer) is a population-based evolutionary algorithm for multiobjective optimization. This algorithm uses an archive of variable size that stores all non-do
epsmoea_c_source.tar
- 多目标优化算法——Epsilon Multiobjective Evolutionary Algorithm -EPSMOEA is based on the idea of epsilon dominance. The objective space is divided into a grid of boxes and the archive holds only one solution for each non-dominated box.
attachments_25_03_2011
- elman network (artificial neural network) for prediction
data-structure
- 数据结构（C语言描述） 详细讲解数据结构的实现过程原理，另有源码例程-Present commonly used data structure. Introduce the idea of tradeoff(折中) reinforce the concept of costs and benefits associated with every data structure. Measure the effectiveness of a data structure or algo