C++实现isodata聚类算法，基于IRIS数据，
上传时间： 2016-08-07
上传用户：CSUSheep
一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类
上传时间： 2016-09-03
上传用户：Andy123456
基于遗产算法的FCM算法，且对iris标准数据集聚类，适用初学者。
上传时间： 2013-12-19
上传用户：lunshaomo
模式识别分类器的设计，此为K均值法源码，经调试通过。所用数据为标准IRIS。
上传时间： 2014-12-03
上传用户：源码3
模式识别分类器的设计，此为fisher法源码，经调试通过。所用数据为标准IRIS。
上传时间： 2014-01-16
上传用户：silenthink
模式识别分类器的设计，此为LMS法源码，经调试通过。所用数据为标准IRIS。
上传时间： 2014-01-15
上传用户：cx111111
K-mean算法，并通过了IRIS数据的测试。
上传时间： 2013-12-18
上传用户：shawvi
This approach addresses two difficulties simultaneously: 1) the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in monocular aerial images. With the suggested method building outlines can be detected faster than the mobile robot can explore the area by itself, giving the robot an ability to “see” around corners. At the same time, the approach can compensate for the absence of elevation data in segmentation of aerial images. Our experiments demonstrate that ground-level semantic information (wall estimates) allows to focus the segmentation of the aerial image to find buildings and produce a ground-level semantic map that covers a larger area than can be built using the onboard sensors.
标签： simultaneously difficulties limitation addresses
上传时间： 2014-06-11
上传用户：waitingfy
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
标签： multimedia Semantic analysis research
上传时间： 2016-11-24
上传用户：虫虫虫虫虫虫
15篇光流配准经典文献，目录如下： 1、A Local Approach for Robust Optical Flow Estimation under Varying 2、A New Method for Computing Optical Flow 3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms 4、all about direct methods 5、An Introduction to OpenCV and Optical Flow 6、Bayesian Real-time Optical Flow 7、Color Optical Flow 8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network 9、Computing optical flow with physical models of brightness Variation 10、Dense estimation and object-based segmentation of the optical flow with robust techniques 11、Example Goal Standard methods Our solution Optical flow under 12、Exploiting Discontinuities in Optical Flow 13、Optical flow for Validating Medical Image Registration 14、Tutorial Computing 2D and 3D Optical Flow.pdf 15、The computation of optical flow
标签： 光流
上传时间： 2014-11-21
上传用户：fanboynet
