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Localizing heavily occluded human faces is a challenging problem in facial detection. Previous methods mainly employ sliding windows by determining whether windows include human faces. In this paper, we provide a novel segmentation-based perspective for heavily occluded face localization with deep convolutional neural networks (CNN). Our model takes an image as input without complicated pre-processing...
Smile detection from facial images is a specialized task in facial expression analysis with many potential applications such as smiling payment, patient monitoring and photo selection. The current methods on this study are to represent face with low-level features, followed by a strong classifier. However, these manual features cannot well discover information implied in facial images for smile detection...
According to the advancement of the medical science in recent years, Taiwan has come into the aging society. Due to the increase of elderly people, the requirement of wheelchair is increasing gradually. Therefore, we develop a system to increase the security of the wheelchair. This research is to configure sensors in a wheelchair for measuring the position and the operation of wheelchair users. If...
In recent years, the Internet of Things (IoT) has become increasingly important and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the data management community. In this paper, we first analyze the challenges in IoT data management, and then propose a novel Sea-Cloud-based massive heterogeneous sensor Data Management...
A model of fish disease diagnosis was proposed by combining rough sets theory (RST) with classifier fusion. On the basis of the attribute reduction of RST, the remaining condition attributes were used for the inputs of individual classifiers and the decision attributes as the outputs. The application of ordered weighted averaging (OWA) operator as a classifier fusion approach has been adopted to combine...
Personalized recommendation systems are becoming increasingly popular with the evolution of the Internet, and collaborative filtering is one of the most important technologies in recommender systems. Such technology recommends items to a customer according to the preference data of similar customers. The main problems of collaborative filtering are about prediction accuracy and data sparsity. To solve...
Building the virtual visual design platform is the basis to implement collaborative design for NC machine tools. The platform constructed the globally shared information model based on the STEP Standard, and used PDM system to integrate and encapsulate CAD/CAE and other application software for the product development. The platform also integrated the expert system of NC machine tools design, analysis...
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