The purpose of this chapter is to emphasise that when including neural nets or similar techniques in systems with a human component, the technological issues are far easier to address than the attendant human ones. It highlights the need for a thorough theoretical understanding of the behaviour of the computer-based techniques in order to be able to assess the human consequences of their use. T...

In this paper, an introduction to hybrid modeling techniques for speech recognition is presented. A hybrid speech recognition system consists of the combination of Hidden Markov Models (HMMs) with Neural Networks (NNs) in order to combine the advantages of these two powerful pattern recognition techniques for improved speech recognition. An overview of several different hybrid speech recognitio...

The Support Vector Machine(SVM) has achieved a lot of attention since it is developed. It is widely used in many areas because of its powerful ability of classification and regression, such as textual classification, face recognition, image processing, hand-written recognition and so forth. In this article I try to give a summary of SVM. Because of its plentiful contents, This article has to ma...

Pressure, motion, and gesture are important parameters in musical instrument playing. Pressure sensing allows to interpret complex hidden forces, which appear during playing a musical instrument. The combination of our new sensor setup with pattern recognition techniques like the lately developed ordered means models allows fast and precise recognition of highly skilled playing techniques. This...

One of the key factors in customer satisfaction is application performance. To be able to guarantee good performance, it is necessary to take appropriate measures before a server overload occurs. While in small systems it is usually possible to predict server overload using a subjective human expert, an automated overload prediction mechanism is important for ultra-large scale systems, such as ...

We present an approach for controlling relaxation parameters in variable conductance diffusion. This approach incorporates a Bayesian classifier to perform a partial labeling of an image, followed by a diffusion step. Conductance values between pixels are controlled by statistical measurements made of the partial classification. Several iterations follow, interleaving partial labeling with diff...

Brain Tumor is an abnormal growth caused by cells reproducing themselves in a uncontrolled manner. Brain Tumor segmentation aims to separate the different tumor tissues such as active cells, necrotic core & edema from normal brain tissues of White Matter(WM), Gray Matter (GM), Cerebrospinal Fluid (CSF). Tumor segmentation from MRI data is an Important but time consuming manual task performed by...

factory, Adapter, Builder, Command, Composite, Decorator, Factory method, Observer, Prototype, Singleton, State, Strategy, Template method, and Visitor patterns. The approach focuses on reducing search space, but it may return large number of false positives when certain roles are removed for detecting patterns. Arceli et al. [46] have presented a design pattern detection approach which is base...

let l := u3(11). in this article, we classify groups with the same order and degree pattern as an almost simple group related to l. in fact, we prove that l, l:2 and l:3 are od-characterizable, and l:s3 is 5-fold od-characterizable.