Background: Accurate and early detection of non-alcoholic fatty liver, which is a major cause of chronic diseases is very important and is vital to prevent the complications associated with this disease. Ultrasound of the liver is the most common and widely performed method of diagnosing fatty liver. However, due to the low quality of ultrasound images, the need for an automatic and intelligent...

For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discriminant analysis (LDA) computes such discriminant functions in a space spanned by real-valued features extracted from the input. The accuracy of the trained classifier crucially depends on these features, its time comp...

This Generalized Discriminant Analysis (GDA) has provided an extremely powerful approach to extracting non-linear features. The network traffic data provided for the design of intrusion detection system always are large with ineffective information, thus we need to remove the worthless information from the original high dimensional database. To improve the generalization ability, we usually gen...

Abstract: The true intention, i.e. positive and negative, of shoppers was identified from conversational dialogue speech between shoppers and salesperson. Since the speech characteristics have subtle difference only, it is important to learn discriminant features from speech signals. Starting from statistical features of speech pitch, amplitude envelop, and their temporal changes, the discrimin...