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In this work we suggest a model according to which semantics has been already generated during the perception through the interaction of three dynamic levels of perceptual organization. We consider perceptual grouping as the first order processing. Shape formation is considered as the second order processing. Both grouping and shape formation can be considered as two complementary and interrelated...
Spino Cerebellar Ataxia type 2 is an autosomal dominant cerebellar hereditary ataxia with the highest prevalence in Cuba. Typical symptoms in patients of SCA2 ataxia include modifications in latency, peak velocity, and deviation in visual saccadic movements. After applying some electro-oculography based tests to both healthy and SCA2 afflicted individuals, differences in saccade morphology were found,...
Digitization of real objects into 3D models is a rapidly expanding field, with ever increasing range of applications. The most interesting area of its application is in the creation of realistic 3D scenes, i.e. virtual reality. It can be used in the entertainment industry, design, architecture and scientific research. This paper provides a brief summary of current 3D scanning technologies, deals with...
This paper presents insights gained from applying biological vision mechanisms in the context of computer vision algorithm design, implementation and initial evaluation. In this paper a software-based space variant log(z) retina tessellation is used to sample the underlying image, maintaining the high resolution at the central foveal region and an increasingly sparse sampling density at the surrounding...
The classification of imbalanced data is a well-studied topic in data mining. However, there is still a lack of understanding of the factors that make the problem difficult. In this work, we study the two main reasons that make the classification of imbalanced datasets complex: overlapping and data fracture. We present a Genetic Programming-based feature extraction method driven by Rough Set Theory...
Visualization techniques provide attractive tools to explore and analyze huge and high dimensional gene expression sets. Several visualization techniques have been developed that enabled users to visually analyze high dimensional data. However, these techniques should be integrated with efficient exploration techniques, as efficient clustering, outlier analysis, ensembles and cluster validation to...
Bag of visual patches (BOP) image representation has been the main research topic in computer vision literature for scene and object recognition tasks. Building visual vocabularies from local image feature vectors extracted automatically from images have direct effect on producing discriminative visual patches. Local image features hold important information of their locations in the image which are...
Optimizing the virtual reality model is a necessity to cope with the nature of the World Wide Web. Virtual reality scenes should load within an acceptable time for the user's experience and the sense of being immersed in the virtual environment is not to be affected. In this study, we propose to optimize web-based virtual reality models by removing redundant objects within the scenes, while keeping...
Multicriteria Collaborative Filtering is a promising approach to recommender systems that explores user ratings on item components in order to generate high quality recommendations. This paper focuses on multicriteria collaborative recommender systems and proposes a new algorithm that estimates aggregation functions, which represent the relative importance of individual components, based on the concept...
Mining techniques are needed to extract important information from huge high dimensional gene expression sets. Targeting unique expression behavior as over/under-expression is specific to gene expression data and is needed to explore another direction in the relation of genes to tumor conditions. This research proposes criteria for filtering over-expression genes, identifying over-expression related...
In the past few years, online social data visualization has emerged as a new platform for users to construct, share, and comment on data visualizations online. The most well known online data visualization tools include Many Eyes, Swivel, and Tableau Public. In this paper, we report our analysis of Many Eyes - an IBM research project. By analyzing all the data visualizations constructed by users from...
Research on the future of the Egyptian tourism industry has become the subject of countless studies and debates. Different wildcards have high impacts on this crucial industry and ultimately of the future of the Egyptian national income. This paper is about an Intelligent Decision Support System (DSS) that specifically focuses on assessing the impacts of wildcards on the future revenues of the Egyptian...
Since the outset of the deregulation of international financial markets in the 1980s, the frequency of currency crises has increased. Solely in the 1990s, five global storms of financial turmoil, also including collapses of the currency, have occurred. To date, crisis forecasting and monitoring of financial stability is still at a preliminary stage. This paper explores whether the application of the...
In this paper, we consider the problem of analysis and visualization of online conversations (chat histories, email archives, etc.). We present a dynamic graph drawing algorithm based on modification of multidimensional scaling. The algorithm builds a layout of sequence of graphs and produces a slice view of the evolution of online communications. The method have been applied for visualization of...
Composition style is often an important factor in readers' selection of reading materials. For example, a reader may seek out articles written in similar style as his or her favorite writer. We present a new method for providing recommendations based on the composition style. Our algorithm analyzes and encodes the readability index and syntactical structure of a model document, and then searches for...
Recently, considerable research has been done to reduce the gap between direct observation of a scene and its recorded image. Typically the differences exist because of the high dynamic range compression capability of the human visual systems, and its capacity for color constancy. In this paper we define a new method that provides dynamic range compression, color consistency and color rendition for...
In this work, we propose an approach of thematisation of audiovisual (AV) documents for a research according to topics evoked in each document. The first step of our approach is to define the descriptive metadata allowing a bibliographical description of the whole documents. The second step is divided into three stages: the first one is a temporal segmentation, the second one is space segmentation...
This paper proposes a novel image fusion method that uses continuous Genetic Algorithm (CGA). Image fusion provides a single output image from a set of input images, captured from different viewing conditions, by different sensors, and at different times. Image fusion can be divided into three processing levels: pixel, feature and decision. Genetic algorithms are a nonlinear optimization technique...
The fundamental model for Web navigation has not changed much since the beginning of the development of Hypertext and Web search engines. Current browsing allows users to search by formulating queries, entering known URLs, and by navigation by following links embedded in webpages. Considerable research has focused on navigation mechanisms to improve the effectiveness of the process of finding relevant...
This paper compares performance of several classifiers provided in WEKA such as Bayes, decision tree and classification rules in classifying student's learning style. The student's preferences and behavior while using e-learning system have been observed and analyzed and twenty attributes have been selected to map into Felder Silverman learning style model. There are four learning dimensions in Felder...
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