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Vision-based pedestrian detection for all day are crucial in Advance Driver Assistance Systems (ADAS), autonomous vehicles and video surveillance. Based on the fact that human body radiation falls around 9.3pm, thermal images have distinctive advantages in pedestrian detection at nighttime. With the recent success of CNNs in vision community, how to properly explore information in color and thermal...
Though current workflow systems, known as the major task managing tool in data-center, use UNIX-based user/group authorization mechanisms to defend unauthorized operations, the information in workflow systems, such as DAG (Directed Acyclic Graph), could be easily exposed to any user-level malicious monitor. In this paper, we propose a type of side channel attack to data-center workflow information...
The growing availability of sensors integrated in smartphones provides much more opportunities for context-aware services, such as location-based and profile-based applications. Power consumption of the sensors contributes a significant part of the overall power consumption on current smartphones. Furthermore, smartphone sensors have to be activated in a stable period to match to the request frequency...
It is a big challenge to guarantee the quality of discovered relevance features in text documents for describing user preferences because of large scale terms and data patterns. Most existing popular text mining and classification methods have adopted term-based approaches. However, they have all suffered from the problems of polysemy and synonymy. Over the years, there has been often held the hypothesis...
Considering the lower accuracy of existing traffic sign recognition methods, a new traffic sign recognition method using histogram of oriented gradient - support vector machine (HOG-SVM) and grid search (GS) is proposed. First, the histogram of oriented gradient (HOG) is used to extract the characteristics of traffic sign. Then the grid search technique is applied to optimize the parameters of support...
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