When classifying an image, there might be several pixels having near among probability, spectral angle or mahalanobis distance which are normally regarded as unclassified or misclassified. These pixels so called chaos pixels exist because of radiometric overlap between classes, accuracy of parameters estimated, etc. which lead to some uncertainty in assigning a label to the pixels. To resolve s...

This paper describes a method for post-processing classified images to enable generalisation to be performed whilst maintaining or improving the accuracy of region boundaries. This is achieved by performing region growing, and incorporates both spatial context and spectral information. In contrast, few classifiers use any spatial context, and many post-processing techniques, such as iterative m...

Arabic script is the third most widely used writing system after Latin and Chinese, but research in Arabic Optical Character Recognition (OCR) is still nascent in comparison to Latin script. Arabic script is inherently cursive in nature, therefore techniques developed for other scripts are generally inappropriate for Arabic. In this paper we present recent progress in the field of Handwritten A...

Based on a state of the art analysis of exercise classifications and empirical findings from an Action Research approach this paper presents a classification for command post exercises, that addresses identified shortcomings concerning practical support for goal-achievement and evaluation in exercise design. The authors’ classification distinguishes between Training, Test and Experimentation Ex...

Multivariate Public Key Cryptography(MPKC) has become one of a few options for security in the quantum model of computing. Though a few multivariate systems have resisted years of effort from the cryptanalytic community, many such systems have fallen to a surprisingly small pool of techniques. There have been several recent attempts at formalizing more robust security arguments in this venue wi...

UNLABELLED Non-coding RNAs (ncRNAs) are known to play important functional roles in the cell. However, their identification and recognition in genomic sequences remains challenging. In silico methods, such as classification tools, offer a fast and reliable way for such screening and multiple classifiers have already been developed to predict well-defined subfamilies of RNA. So far, however, out...

Electroencephalogram (EEG) has established itself as an important means of identifying and analyzing epileptic seizure activity in humans. In most cases, identification of the epileptic EEG signal is done manually by skilled professionals, who are small in number. In this paper, we try to automate the detection process. We use wavelet transform for feature extraction and obtain statistical para...

Using classification of finite simple groups, I show that a finite subgroup G of GL(n)(C), where C = the complex numbers, contains a commutative normal subgroup M of index at most (n + 1)!n(alogn+b). Moreover, if G is primitive and does not contain normal subgroups that are direct products of large alternating groups, then the factor (n + 1)! can be dropped. I further show that similar statemen...

This paper describes our systems for expression-level and message-level sentiment analysis – two subtasks of SemEval-2015 Task 10 on sentiment analysis in Twitter. First we built two baseline systems for the two subtasks using SVM with a variety of features. Then we improved the systems through model iteration and probability-output weighting respectively. Our submissions are ranked the 3rd and...

PURPOSE To evaluate the post-radiation lesions of the bone marrow with magnetic resonance imaging (MRI) and image analysis in patients with bone metastases undergoing radiation therapy (RT). METHODS Thirty-five patients with bone metastases were studied from June 2008 to December 2010. All patients had osseous metastases from various primary malignancies and underwent palliative RT. MRI was p...