From the educational point of view, the most widespread method in developing countries is on-site education. Technical and economic resources cannot support conventional distance learning infrastructures and it is even worse for courses in universities. They usually suffer a lack of qualified faculty staff, especially in technical degrees. The literature suggest that e-learning is a suitable so...

Classifying brain activities is a challenging task since Electroencephalography (EEG) recordings exhibit distinct and individualized spatial and temporal characteristics correlated with noise and various physical and mental activities. To increase classification accuracy, it is thus crucial to identify discriminant spatio-temporal features. This paper presents a method for analyzing the spatio-...

This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification of landmark points from a given input image, and (b) regularized deformation of the shape of an object defined in a template. The second problem is solved using a new constrained support vector machine (SVM) regression ...

Traditional support vector machines (SVMs) assign data points to one of two classes, represented in the pattern space by two disjoint half-spaces. In this paper, we propose a fuzzy extension to proximal SVMs, where a fuzzy membership is assigned to each pattern, and points are classi1ed by assigning them to the nearest of two parallel planes that are kept as distant from each other as possible....

Objective: This paper aims to generate explanations from a series of data points obtained from a decision support system called ReleasePlanner for supporting product release planning and considered to be a black box. Method: Concept analysis is applied to 1085 data points received from running 10 scenarios of a real world product release planning project with 35 candidate solutions generated by...

Given the high percentage of turnover invested in R&D, the cost structure and segmentation of investment in high-tech firms necessitate regular review of resource allocation. For high-tech firms, the vital importance of innovation management is one of the building stones of a successful business. The key question remains how innovations can be managed throughout the S-curve of technological per...

We show that the error probability of reconstructing kernel matrices from Random Fourier Features for any shift-invariant kernel function is at most O(exp(−D)), where D is the number of random features. We also provide a matching informationtheoretic method-independent lower bound of Ω(exp(−D)) for standard Gaussian distributions. Compared to prior work, we are the first to show that the error ...

Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the Bayesian committee support vector machine (BC-SVM) and achieve an algorithm for training the SVM which scales linearly in the number of training data points. We verify the good performance of the BC-SVM using several...

To date, there are no fully automated systems addressing the community’s need for fundamental language processing tools for Arabic text. In this paper, we present a Support Vector Machine (SVM) based approach to automatically tokenize (segmenting off clitics), part-ofspeech (POS) tag and annotate base phrases (BPs) in Arabic text. We adapt highly accurate tools that have been developed for Engl...

This paper presents results from a research project aiming at developing an architecture supporting local mobility within hospitals. The architecture is based on fieldwork and design workshops within a large Danish hospital and it has been implemented and evaluated after a pilot phase. Our fieldwork has emphasised the differences between remote mobility, where users travel over long distances, ...