Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator. The Jacobian matrix estimator does not need a priori knowledge of the kinematic structure and parameters of the robot system, such as camera and link parameters. The proposed visual servoing control scheme ensures the convergence of the image-features to desired trajectories, by using the estimated Jacobian matrix, which is proved by the Lyapunov stability theory. To show the effectiveness of the proposed scheme, simulation and experimental results are presented.
標簽： Versatile knowledge estimator servoing
上傳時間： 2016-08-26
上傳用戶：大三三
The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.
標簽： independent kernel-ica implements algorithm
上傳時間： 2014-01-17
上傳用戶：yiwen213
是否懂得C語言并不是學習C++的前提。不僅僅是因為C++本身兼容C語言，更重要的是C++所倡導的程序設計觀念是和C語言完全不同的。C語言在某種意義上是對CPU模型的抽象。盡管C++完全保留了C語言的機器模型，但是C++更加注重對現實世界進行抽象。為此，C++創始人Bjarne Stroustrup專門寫過一篇著名的文章：《Learning Standard C++ as a New Language》（把標準C++作為一種全新的語言來學習）
上傳時間： 2013-12-25
上傳用戶：fandeshun
flex code，compiler theory curriculum design, the C write PL / 0 compiler, a detailed documentation and code
上傳時間： 2016-11-05
上傳用戶：13681659100
一個神經網絡原型代碼，針對的例子為《Perceptron Learning》 (Russell & Norvig， 第742頁)
上傳時間： 2016-11-06
上傳用戶：康郎
This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral can be evaluated over a user defined range by using: The composite trapezium, simpsons and gauss-legendre rules. This is useful for calculating accurate probabilities that one might see in statistical tables.
標簽： can entering command MATLAB
上傳時間： 2016-11-07
上傳用戶：偷心的海盜
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
標簽： package multi-label includes networks
上傳時間： 2013-12-05
上傳用戶：xsnjzljj
Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering techniques that are frequently used in data mining have been developed in machine learning research community. Frequent pattern and association rule mining is one of the few excep- tions to this tradition. The introduction of this technique boosted data mining research and its impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting with Apriori-like algorithm is the fi rst thing that data miners try to do.
標簽： 64257 algorithms decision pattern
上傳時間： 2014-01-12
上傳用戶：wangdean1101
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.
標簽： multimedia Semantic analysis research
上傳時間： 2016-11-24
上傳用戶：蟲蟲蟲蟲蟲蟲
另一本介紹貝葉斯網絡的經典教材，可以與Learning Bayesian Networks配合使用，相得益彰。
上傳時間： 2014-01-05
上傳用戶：電子世界
