搜索资源列表
srtree
- 基于内容的多媒体数据检索算法SR-Tree，类似于R*-tree和SS-tree的最近邻搜索 -content-based multimedia data retrieval algorithm SR-Tree, similar to the R *- tree and SS-tree search of the nearest neighbor
maxent-2.5.1
- 最大熵分类器，实现对文本的分类，很好的机器学习算法。-Maximum Entropy classifier, the realization of the text classification, a good machine learning algorithm.
AR_to_SS
- AR算法到SS算法的实现转换程序，matlab实现。-AR algorithm to SS conversion algorithm.
motionEst4SS
- maltab implementation of the 4ss (forth step search) algorithm in matlab used for motion estimation.
SS
- Algorithm for Sensor Selection via Convex Optimization
ssda
- 关于数字图像处理中的ssda模板匹配方法。程序实现在指定图像中生成一个大小固定的矩形区域，然后用模板匹配法找出矩形位置。使用SSDA算法实现。包括源程序、待处理图像以及运行结果截图。-On digital image processing ssda template matching method. Procedures to achieve the specified image to generate a fixed size rectangular region, and then pos
ss
- 遗传算法解决背包问题，其中包括算法编码初始化，交叉，变异和惩罚策略，很好的解决了背包问题-Genetic algorithm to solve knapsack problem, including the coding algorithm initialization, crossover, mutation and punishment strategy, a good solution to the knapsack problem
SS
- scatter search algorithm and neural network
three_sign
- 比较了基于SE，SR，SS的符号模式CMA算法，仿真表明，SS收敛速度快，但稳态误差大，SR的综合效果最好。-Comparison based on the SE, SR, SS symbolic mode CMA algorithm, simulation results show that SS convergence speed is fast, but steady-state error, the combined effect of SR.
SS
- SCAATER SEARCHING a line search based algorithm for solving high-dimensional continuous non-linear optimization problems
ss
- 求解最短路径的Dijkstra算法的代码实现-Dijkstra' s shortest path algorithm to solve the code
ss
- 蜂群算法，描述了侦查蜂，雇佣蜂，围观蜂是怎样合作的过程，编译可以通过。-Colony algorithm, described the investigation bee, employment bee, bee onlookers how the process of cooperation, the compiler can pass.
SS-ESPRIT_COM_DOA_jiecoherent
- 单次快拍二维ESPRIT算法，通过构造单次快拍等效协方差矩阵实现二维DOA估计-single snapshot 2D ESPRIT algorithm
Matlab-code-for-Informed-Spread-Spectrum
- matlab code for SS algorithm
SS-US-ELM
- 神经网络极限学习机的一种改良算法，性能提升明显，非常难找-Neural network ——extreme learning machine, a kind of improved algorithm， the performance increase obviously, very hard to find