Jointly using audio and video features can increase the robustness of automatic speech recognition systems in noisy environments. A systematic and reliable performance gain, however, is only achieved if the contributions of the audio and video stream to the decoding decision are dynamically optimized, for example via so-called stream weights. In this paper, we address the problem of dynamic str...

A Correct diagnosis of Tuberculosis (TB) can be only stated by applying a medical test to patient’s phlegm. The result of this test is obtained after a time period of about 45 days. The need of this study is to develop a data mining(DM) solution which makes diagnosis of tuberculosis as accurate as possible and helps deciding if it is reasonable to start tuberculosis treatment on suspected patie...

The class of mapping networks is a general family of tools to perform a wide variety of tasks; however, no unifying framework exists to describe their theoretical and practical properties. This paper presents a standardized, uniform representation for this class of networks, and introduces a simple modification of the multilayer perceptron with interesting practical properties, especially well ...

The web is a huge repository of knowledge and numerous hyperlinks. Web also serves a broad diversity of user communities and global information service centers. Every day the knowledge in web page upwards rapidly. Web pages can be used to convey the knowledge to web users. Such voluminous size of the web makes an intricacy of web information retrieval, web content filtering and web structure mi...

In this contribution, one and two-stage neural networks methods for face recognition are presented. For two-stage systems, the Kohonen self-organizing map is used as a feature extractor and multiplayer perceptron (MLP) or radial basis function (RBF) network are used as classifiers. The results of such recognition are compared with face recognition using a one-stage multilayer perceptron and rad...

A Correct diagnosis of tuberculosis (TB) can be only stated by applying a medical test to patient’s phlegm. The result of this test is obtained after a time period of about 45 days. The purpose of this study is to develop a data mining(DM) solution which makes diagnosis of tuberculosis as accurate as possible and helps deciding if it is reasonable to start tuberculosis treatment on suspected pa...

An attempt has been made to evaluate the feedbacks of library users of four different libraries by using neural network based data mining techniques. This paper presents the results of a survey of users’ satisfactory level on four different libraries. The survey has been conducted among the users of four libraries of educational institutions of Kovai Medical Center Research and Educational Trus...

The objective of the paper is to compare two data mining tools on the basis of various estimation criteria. The data mining tools which are evaluated are WEKA and DTREG. These tools are used to build multilayer perceptron which is a data mining model to predict the survivability of the oral cancer patients. Oral cancer database is considered as it is estimated to be 8th most common cancer world...

Multilayer perceptrons (MLPs) are one of the most popular neural network models for solving pattern classiication and image classiication problems. Because of their ability to learn complex decision boundaries, MLPs are used in many practical computer vision applications involving classiication (or supervised segmentation). Once the connection weights in a MLP have been learnt, the network can ...