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We present an attention-based modular neural framework for computer vision. The framework uses a soft attention mechanism allowing models to be trained with gradient descent. It consists of three modules: a recurrent attention module controlling where to look in an image or video frame, a feature-extraction module providing a representation of what is seen, and an objective module formalizing why...
We evaluated the therapeutic effects of anti-gravity locomotor treadmill (AlterG) training on postural stability in children with Cerebral Palsy (CP) and spasticity, particularly in the lower extremity. AlterG can facilitate walking by reducing the weight of CP children by up to 80%; it can also help subjects maintain an appropriate posture during the locomotor AlterG training. Thus, we hypothesized...
Support vector machine (SVM) is a popular machine learning method and has been widely applied in many real-world applications. Since SVM is sensitive to noises, fuzzy SVM (FSVM) has been proposed to relieve the over-fitting problem caused by noises through assigning a fuzzy membership to each sample. Then, different samples make different contributions to the learning of classification hyperplane...
Stroke patients often suffer from severe upper limb paresis. Rehabilitation treatment typically targets motor impairments as early as possible, however, muscular contractions, particularly in the wrist and fingers, are often too weak to produce overt movements, making the initial phase of rehabilitation training difficult. Here we propose a new training tool whereby electromyographic (EMG) activity...
Bagging is a popular method used to increase the accuracy of classification, by training a set of classifiers on slightly different datasets and aggregating their output by voting. Usually, the majority voting is used for this purpose, or the plurality voting, when the problem has multiple class values. In this study, we analyze the influence of several voting methods on the performance of two classification...
Building Information Modelling (BIM) is the current trend in the construction industry globally, and Malaysia, is not an exception too. BIM has been in Malaysia for the past ten (10) years, and in the future, BIM will be an industry standard, instead of an optional service. Even though BIM is already in the industry for ten (10) years, many developers are still reluctant to implement it because they...
The importance of formative feedback in higher education institutions is out of doubt, however, reports on poor feedback from students and a high cost in producing quality feedback from teachers demand a different line of action. This article proposes the use of Open Education Resources as suggested content for markers in order to enhance their provided feedback. An evaluation was performed using...
Convolutional neural networks have significantly boosted the performance of face recognition in recent years due to its high capacity in learning discriminative features. In order to enhance the discriminative power of the deeply learned features, we propose a new supervision signal named marginal loss for deep face recognition. Specifically, the marginal loss simultaneously minimises the intra-class...
This article describes the Information Process Maturity Model, which was modeled after the software industry's Capability Maturity Model, to guide managers of information-development groups in assessing and improving the work of their organizations. The model describes five levels of maturity: ad-hoc, rudimentary, organized and repeatable, managed and sustainable, and optimizing. The model currently...
Several defect prediction models proposed are effective when historical datasets are available. Defect prediction becomes difficult when no historical data exist. Cross-project defect prediction (CPDP), which uses projects from other sources/companies to predict the defects in the target projects proposed in recent studies has shown promising results. However, the performance of most CPDP approaches...
Project Management (PM) encompasses activities related to the successful accomplishment of a group of goals. According to SR 13465:2007, PM is all about planning, programming, monitoring and controlling the fulfilment of the activities in the project. In addition, PM is about managing all the resources involved or required for completing the project within established timeframe, budget, scope and...
The figures found in biomedical literature are a vital part of biomedical research, education and clinical decision. The multitude of their modalities and the lack of corresponding meta-data, constitute search and information retrieval a difficult task. We present multi-label modality classification approaches for biomedical figures. In particular, we investigate using both simple and compound figures...
We propose a method for detecting valuable left-behind items in vehicle cabins which uses a single overhead camera. An additional sub-network is incorporated into the Faster R-CNN framework in order to allow it to estimate item value based on visual properties, as well as to perform detection. A loss function which contains a user-specified minimum-value threshold is introduced, which enables warnings...
A new Cluster-based methodology for real-time Novelty Detection and Isolation (NDI) in sensor networks, is presented. The proposed algorithm enables uniform clustering across time-frames to indicate the presence of a “healthy” network. In the event of novelty, the associated sensor is seen to be clustered in a non-uniform manner with respect other sensors in the network, thereby facilitating fault...
Learning vector quantization (LVQ) enjoys a great popularity as efficient and intuitive classification scheme, accompanied by a strong mathematical substantiation of its learning dynamics and generalization ability. However, popular deterministic LVQ variants do not allow an immediate probabilistic interpretation of its output and an according reject option in case of insecure classifications. In...
Self-Organizing Maps (SOM) [ ] are a popular clustering and visualization algorithm. Several implementations of the SOM algorithm exist in different mathematical/statistical softwares, the main one being probably the SOM Toolbox [2]. In this presentation, we will introduce an R package, SOMbrero, which implements several variants of the stochastic SOM algorithm. The package includes several diagnosis...
Most virtual reality rehabilitation of balance and mobility studies about persons post-stoke report body function structure and activity level outcomes of the International Classification of Function. Only a few investigators have reported participation outcomes. Patient-centered approach to incorporating video games into the plan of care would require the use of participation outcomes. The purpose...
Maintaining an external focus of attention (FA), as with virtual reality exercise gaming, may be effective in encouraging greater dynamic lateral movements and greater weight bearing for individuals post stroke. This study sought to compare center of pressure movements for individuals post-stroke under three conditions (internal FA, external FA, virtual reality) and compare these differences to healthy...
The purpose of this study was to investigate the effect of RAGT on the static balance ability of sitting posture in SCI. Changes in COP in the open eyes showed significant differences between groups in the anterior sway category. In both groups, there was a tendency for the front and back sway to decrease, suggesting that RAGT and upper body balance training may have an effect of reducing anterior...
The paper discussed about the importance of Professional Development Program in Lokon High School (SMA Lokon) in North Sulawesi, Indonesia and its effort to become an international standard school. Using qualitative case study, the research used interview method in gathering data. The researcher interviewed five teachers who teach in the school and used their answers to analyze the concept of the...
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