搜索资源列表
ssl-on-locally--multiple-graphs
- 一种用于multiple graphs的半监督学习-Efficient semi-supervised learning on locally informative multiple graphs
DIPDemo
- 数字图像处理和监督分类基本操作。包括点运算、几何变换、图像增强、频域滤波、彩色图像处理，形态学变换、图像分割、特征提取、识别初步等。- The basic operation of digital image processing and supervised classification. Including point arithmetic, geometric transformation, image enhancement, frequency domain filtering, co
Semantic-Segmentation
- CVPR2012_oral Weakly Supervised Structured Output Learning for Semantic Segmentation-We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in t
Classifier
- 一个半监督数据流集合分类器程序，其中每个单分类器采用k均值聚类算法。-A semi-supervised data flow classifier using k-means clustering algorithm.
semi-supervized-learning
- A PhD thesis on Semi-supervised learning with Graphs by Xiaojin Zhu. Focuses on creating graphs, based on a mixture of labeled and unlabeled data (as per the semi-supervised learning paradigm) and using processes on these graphs to propagate in rigo
lunakoy
- Classification may refer to: Library classification Taxonomic classification (see Taxonomy) Biological classification of organisms Medical classification Scientific classification (disambiguation) Classification (literature) Supe
Kjunzhi
- 为非监督分类的一种——K均值算法，这里设定的适用于灰度图像，分类后的图像在显示的同时保存在D盘-A non-supervised classification- K-means algorithm, set applies to gray image, classified image display while stored in the D drive
BP-neural-networks-algorithm
- 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法:Gauss变异动态调整BP算法中学习率参数和冲量系数-This program is a three-layer error back propagation feedforward neural networks supervised learning algorithm: the Gauss variation dynamically adjusts the learning rate in BP algorithm paramet
image-study
- 多示例学习是与监督学习、非监督学习和强化学习并列的第四类学习框架，目前已广泛应用于药物设计、图像搜索等领域,并已获得很好的效果。在多示例学习中，训练样本是由多个示例组成的包，包是有概念标记的，但示例本身却没有概念标记，学习的目的是预测新包的类别。-Multi-instance learning and supervised learning, unsupervised learning and reinforcement learning tied for the fourth-class le
m7_7
- 单神经元PID控制，基于有监督无监督以及改进的学习算法。-Single neuron PID control based on supervised unsupervised and improved learning algorithm.
Classificationofhyper_magebasedonBEMD
- Abstract : As a powerful tool for image processing ，bi-dimensional empirical mode decomposition ( BEMD) covers a wide range of applications． In this paper ，we explore a novel hyperspectral classification algorithm which integrates BEMD and s
code
- 简单的BP神经网络代码 实现监督学习数据挖掘功能-Simple BP neural network supervised learning data mining code
SKohonen
- 有监督SOM网络，克服了无监督SOM聚类不准确的问题-The supervised SOM network, to overcome the unsupervised SOM clustering inaccurate
toydata
- 一种新的半监督方法LLGC局部与全局一致性-A new semi-supervised method LLGC with local and global consistency
Introduction-to-Graphical-Model
- matlab语句实现图模型，多用于分析网络用户产品推荐及网络用户潜在社会关系分析模型的建立。-The goal of building systems that can adapt to their environments and learn from their experience has attracted researchers from many fields , including computer science, engineering, mathematics, ph
support_vector_machine
- 实现了SVM算法对图像监督分类，用户需要自己设定参数。-Achieve a supervised classification SVM algorithm for image, you need to set their own parameters.
class_toolbox
- maltab分类工具箱，整合了各种经典算法，在这些算法的帮助下有助于设计分类方法实验。-The classification toolbox is a list of functions for supervised and unsupervised classification algorithms. These algorithms help design categorization methods for experimental as well as synthetic dat
Face-orientation-recognition
- LVQ即学习向量量化神经网络是一种用于训练竞争层的有监督学习方法神经网络，在模式识别和优化领域有着广泛的应用。本课题要求使用LVQ神经网络训练人脸的特征数据，得到模型对任一人脸图像的朝向进行识别。-Learning Vector Quantization LVQ neural network that is used to train competitive layer neural network supervised learning methods in the field of patt
classification
- 各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类-Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering
SSMetric
- 用来图像检索的，SSMetric半监督学习距离图像检索Used for image retrieval, SSMetric a semi-supervised learning distance image retrieval -Used for image retrieval, SSMetric a semi-supervised learning distance image retrieval