To manage large image databases, Content-Based Image Retrieval (CBIR) emerged as a new research subject. CBIR involves the development of automated methods to use visual features in searching and retrieving. Unfortunately, the performance of most...
Images, Photographic--Databases; Image processing--Digital techniques; Data mining; Cluster analysis
The performance of content-based image retrieval systems has proved to be inherently constrained by the used low level features, and cannot give satisfactory results when the user's high level concepts cannot be expressed by low level features. In...
A common research interest in medical, biological, and engineering research is determining whether certain independent variables are correlated with the survival or failure times. Standard statistical techniques cannot usually be applied for...
Representing the complex data in a concise and accurate way is a special stage in data mining methodology. Redundant and noisy data affects generalization power of any classification algorithm, undermines the results of any clustering algorithm and...
Pattern perception--Data processing; Pattern recognition systems; Land mines--Detection; Data mining
For complex detection and classification problems, involving data with large intra-class variations and noisy inputs, no single source of information can provide a satisfactory solution. As a result, combination of multiple classifiers is playing...
This dissertation addresses two different problems: 1) coronal loop detection from solar images: and 2) salient contour group extraction from cluttered images. In the first part, we propose two different solutions to the coronal loop detection...
The topic of this dissertation is the automation of the process of extracting understandable patterns and rules from data. An unprecedented amount of data is available to anyone with a computer connected to the Internet. The disciplines of Data...
The area of Knowledge discovery and data mining is growing rapidly. Feature Discretization is a crucial issue in Knowledge Discovery in Databases (KDD), or Data Mining because most data sets used in real world applications have features with...
The advent of larger storage spaces, affordable digital capturing devices, and an ever growing online community dedicated to sharing images has created a great need for efficient analysis methods. In fact, analyzing images for the purpose of...
A hyper basis function network (HyperBF) is a generalized radial basis function network (RBF) where the activation function is a radial function of a weighted distance. The local weighting of the distance accounts for the variation in local scaling...
Recently, social multimedia-sharing websites, which allow users to upload, annotate, and share online photo or video collections, have become increasingly popular. The user tags or annotations constitute the new multimedia "meta-data". We...
General. – The Characaeae is the only extant family of an ancient and unique group of nonvascular aquatic plants which are classified as a separate division, the Charophyta (Groves and Bullock-Webster, 1920; Zaneveld, 1940; Imahori, 1954; Bold,...
Recent advances in high throughput methodologies offer researchers the ability to understand complex systems via high dimensional and multi-relational data. One example is the realm of molecular biology where disparate data (such as gene sequence,...
Corpus callosum; Diagnostic imaging; Autism--Diagnosis
Early detection of human disease in today’s society can have an enormous impact
on the severity of the disease that is manifested. Disease such as Autism and Dyslexia,
which have no current cure or proven mechanism as to how they develop, can...
Pattern recognition systems; Land mines--Detection; Pattern perception--Data processing; Data mining
Traditional machine learning and pattern recognition systems use a feature descriptor to describe the sensor data and a particular classifier (also called "expert" or "learner") to determine the true class of a given pattern....
Understanding of the band structure of the new nano materials is essential to have a deeper insight into their optical and electrical properties. Along with the existing techniques used for characterization of nano-materials, it is also important...
In this work, micro fabrication techniques are explored not only to simplify the production of complex lab on-a-chip devices (LOC), but also micro fabrication will be utilized to create intelligent design features that will enhance an...
In blood coagulation, the serine protease thrombin is a multifaceted enzyme that interacts with multiple proteins. Thrombin utilizes two anion binding exosites (ABE-I and II) to supplement binding to fibrinogen and to the platelet receptor GpIbα,...
Medical records--Data processing; Data mining; Medical care--Data processing; Coronary heart disease--Treatment
The goal of this study is to use a data mining framework to assess the three main treatments for acute myocardial infarction: thrombolytic therapy, percutaneous coronary intervention (percutaneous angioplasty), and coronary artery bypass surgery....
