搜索资源列表
machine-learning-ex5
- 斯坦福大学机器学习公开课CS229 课程作业5-Stanford University public courses CS229 machine learning coursework 5
machine-learning-ex1
- 斯坦福大学机器学习公开课CS229 课程作业4-Stanford University public courses CS229 machine learning coursework 4
machine-learning-ex2
- 斯坦福大学机器学习公开课CS229 课程作业2-Stanford University public courses CS229 machine learning coursework 2
opencv_ann
- 使用opencv的机器学习模块用多层神经网络算法实现对二维特征的分类。并具有一定的可视化处理。只上传了主要代码。不包含工程文件-Opencv using machine learning module for two-dimensional feature free multilayer neural network algorithm. And have some visualization. Upload only the main code. It does not contain a p
NumberPlateRecognition
- 基于opencv的带机器学习功能的车牌识别系统-A number plate recognition system with machine learning ability basing on opencv
Introduction-to-deep-learning
- 深度学习是机器学习最热门的领域,适合机器视觉的深度学习入门讲义-Deep learning is the most popular field of machine learning, suitable for machine vision of deep learning introductory notes
Introduction-to-13deep-learning
- 深度学习是机器学习最热门的领域,适合机器视觉的深度学习-ntroduction to deep learning notes for machine vision, deep learning is now one of the most popular field of machine learning field
1
- 机器学习的决策树算法，matlab编写。适合初学者对决策树算法有初步的认识。-Decision Tree Algorithm machine learning, matlab prepared. Suitable for beginners to have a preliminary understanding of the decision tree algorithm.
PCA
- PCA人脸识别，用于机器学习及模式识别课程。matlab源程序。-PCA face recognition, machine learning and pattern recognition for the courses. matlab source.
svmmil
- 多实例学习方法,用于机器学习图像处理等众多常用领域，对图像处理这来说很有价值-multiple instance learing
svm
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and
CNN
- 卷积神经网络的c++ 实现版本，本文件主要供学习机器学习的同学使用，里面代码有详细注释-CNN matlab
Theano
- Theano的资料及本人成功安装的说明，包括了Theano的说明文档和机器学习的文档-Descr iption of Theano and the process of install Theano in python by myself
osusvm
- OSU-SVM适应于机器学习、模式统计等-OSU-SVM for learing
LDLPackage
- 该代码主要实现标签分布学习算法（Label Distribution Learning，LDL）对机器学习中多标签分类问题的改进和提升-The code mainly achieves label distribution learning algorithm(Label Distribution Learning, LDL) for machine learning multi-label classification improvement and upgrading
qiyizhiraodong_piliang
- 批量对图像进行奇异值扰动，通过修改权重和系数能够产生出大量有效虚拟样本，对大样本机器学习提供帮助-Batch image of the singular value of the disturbance, by modifying the weight and coefficient can generate a large number of effective virtual samples, to provide help for large sample machine learning
libol_v0.3.0
- 最先进的在线学习算法,用于机器学习和数据挖掘研究。目前它支持30 +在线线性算法和变异二进制分类和多级分类任务-consists of a large family of state-of-the-art online learning algorithms for machine learning and data mining research. Currently it supports 30+ online linear algorithms and variants for binar
imageclipper_ROI
- 提取机器学习正样本工具，人工批量选择图片内ROI区域为正样本，并保存，供后期训练使用。-Extraction of machine learning is sample tools, artificial mass selection in the ROI area of the image is positive samples, and save for later training.
Matlab
- 使用Matlab和机器学习中的pca方法来进行烟雾检测-Using Matlab pca and machine learning methods for smoke detectors
KCF-track
- visual tracking 代码 利用SVM机器学习追踪 速度非常快-visual tracking code takes advantage of SVM machine learning very fast track