The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Heart disease classification is one of the most important topics in clinical decision support systems (CDSS). However, the performance of classification is greatly affected by feature selection. Canonical correlation analysis (CCA) is a popular method to extract effective features from two relevant data sets. In this paper, we employ discriminant minimum class locality preserving canonical correlation...
With the development of machine learning techniques, artificial intelligence applications in medicine are becoming hot topic in health information systems. In this research, we construct a new basic heart failure disease database which contains 1715 patients and 400 features. Then, we propose a new machine learning method called Polynomial Smooth Support Vector Machine(PSSVM) to help doctors diagnose...
A new algorithm based on windowed Hough Transform is proposed for triangle detection. A sliding window scans the image pixel by pixel and the Hough Transform is computed in the small region. Peaks of the Hough image which correspond to the line segments are then extracted. A triangle is detected when the three lines satisfy the certain conditions. Experimental results show that the arbitrary triangle...
The fast extraction of segmentation characteristic from images constructed by complex objects and contaminated by noise is a difficult problem in image process domain. A fast extraction algorithm of linear segmentation characteristic based on multiple processing to gray scale projection is proposed. The original gray scale projection of image is mapped with rectangle window to obtain statistics distribution...
Automatic recognition of losing of bogie center plate screw (BCPS) on digit images is a hard problem that due to the vast differences and impreciseness associated with the poor sampling environment and moving photographing. This paper presents a multiple-fuzzy relation tree to solve this problem. Single sample is preprocessed by the method such as finite-radius Hough transformation, constraint-rectangle...
Facial expression recognition has received more and more attentions during the last two decades. A variety of recognition techniques have been applied in various applications. In this paper, a novel expression recognition technique is proposed based on a state-of-the-art classifier called minimax probability machine (MPM). After introducing some technical details of preprocessing and feature extraction,...
We propose a new method for detecting and approximating the boundary surfaces in three-dimensional (3-D) biomedical images. Using this method, each boundary surface in the original 3-D image is normalized as a zero-value isosurface of a new 3-D image transformed from the original 3-D image. A novel computational framework is proposed to perform such an image transformation. According to this framework,...
This paper presents a chaos-based watermarking algorithm in the wavelet transform domain for color images. In contrast to conventional approaches, in which the wavelet transform coefficient is used for watermarking and the whole image is transformed into frequency coefficient, the wavelet transform is applied only to local subblock. DWT is used to transform the subimage, which is extracted from the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.