搜索资源列表
27796720simple-SVM
- 支持向量积的一些分类器训练的matlab代码-support vector plot of some classifier training Matlab code
VQ_Final
- MFC实现的位图矢量量化程序。使用LGB算法训练码本，多次训练直到收敛到一定程度。可以输出量化结果和量化信噪比。-MFC bitmap vector quantization process. Hungarian Gripen training algorithm for the use of the code, many training until convergence to a certain extent. Output can be quantified and quantitati
win32_cutface
- 基于opencv得人脸图像训练集鼠标剪切保存-Opencv was based on face image training set mouse shear Save
face
- 应用训练好的模板实现人脸检测，主要运功的是模板特征发进行分类-Application of training to achieve a good template face detection, the main features of Yungong the template issued to classify
123
- 用vb画阿基米德螺旋线的一个小程序，练手程序本人。-Vb Archimedes spiral drawn with a small program, training program, I hand.
Face
- this face images can be use in testing or training mode for image processing c++ the type is pgm -this face images can be use in testing or training mode for image processing c++ the type is pgm
KSVD_Matlab_ToolBox
- The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.
renlianjiance_xunlian
- 基于adaboost人脸检测，训练，-Based on the the adaboost human face detection, training,
new
- 训练各幅图像中的叶子，进过几次训练，得到各自叶子的属性-Training respective images in the leaves, into several training to obtain the respective properties of the leaves
main
- 神经网络算法在图像阈值分割中的实现，包括遗传神经网络训练示例，神经网络分割示例，传统BP训练遗传BP训练等-Neural network algorithm for image thresholding in implementation, including genetic neural network training example, neural network segmentation example, the traditional genetic BP BP training tr
ssss
- 较实用的识别数字符号的实例，神经网络训练，识别手写数字-Identification of a practical instance of digital symbol, neural network training and recognition of handwritten Numbers
KSVD_Matlab_ToolBox
- K-SVD算法应用，图像去噪，提高图像质量-The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.
halconColorIdentify
- 主要使用halcon进行颜色特征进行分类器的训练，然后使用训练的分类器进行颜色的识别。-The main use for color halcon features classifier training, and then use the trained classifier to recognize colors.
TextonBoostSplits
- Textonboost用boosting实现基于纹理特征的图像分类，里面有训练集、测试集和验证集，具有一定参考价值。-Textonboost uses boosting to realize image classification based on texture features, which has training set, test set and validation set, which has a certain reference value.
svm-seg
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
trainning
- the project about training institute