资源列表
Particle-Swarm-Optimization
- 微粒群算法的寻优算法：PSO算法参数设置、种群初始化、寻找初始极值、迭代寻优-Particle swarm optimization algorithm: PSO algorithm, parameter settings, population initialization, looking for the initial extremum, iterative optimization
python
- 使用python实现BP神经网，代码简单，运行速度快。-Using Python to achieve BP neural network, the code is simple, fast running.
DLMRI_v6
- 基于K-SVD的字典学习，适用于图像重构及图像去噪-classic K-SVD for dictionary learning
NLDA
- 利用matlab实现基于NLDA的人脸识别算法，如有需求做RLDA和bagging NLDA并利用sum rule或者majority rule请参照http://shop.zbj.com/14563255/sid-1213623.html-Matlab codes for NLDA, bagging NLDA, random sampling LDA, Integrating Random Subspace and Bagging for LDA Based Face Recognition
bagging-NLDA-and-RLDA
- 利用matlab实现NLDA人脸识别算法，更详细的random sampling LDA, bagging NLDA和整合LDA算子利用majority vote 和sum rule的matlab 代码，人脸库使用ORL库或者XM2VTS库，地址：http://shop.zbj.com/14563255/sid-1213623.html- matlab codes for NLDA face detection, the face s are ORL. More details about r
dxnfe
- 包括回归分析和概率统计，包括面积、周长、矩形度、伸长度，数据模型归一化，模态振动。- Including regression analysis and probability and statistics, Including the area, perimeter, rectangular, elongation, Normalized data model, modal vibration.
HD_LSTM-master
- 【2016-ECCV】-Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis
diffusion-retrieval-master
- 【2017-CVPR】-Diffusion on Region Manifolds
gipuma-master
- 【2015-ICCV】-Massively Parallel Multiview Stereopsis by Surface Normal Diffusion (supplementary material)
grasshopper
- 【2007】-Improving Diversity in Ranking using Absorbing Random Walks
sso
- 【2012-CVPR】-Affinity Learning via Self-diffusion for Image Segmentation and Clustering
benchmark_results-master
- 这组代码是关于深度学习开发的入门程序，我硕士期间开发的，能成功实现，对人工智能初学者具有重大帮助。-This set of code is on the depth of learning and development of the entry process, I developed during the master, can be successful, artificial intelligence beginners with great help.