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With recent advances in sensory and mobile computing technology , enormous amounts of data about moving objects are being collected. With such data, it becomes possible to automatically identify suspicious behavior in object movements. Anomaly detection in massive moving objects has many important applications, especially in surveillance , law enforcement,(More)
A Cyber-Physical System (CPS) integrates physical devices (e.g., sensors, cameras) with cyber (or informational)components to form a situation-integrated analytical system that responds intelligently to dynamic changes of the real-world scenarios. One key issue in CPS research is trustworthiness analysis of the observed data: Due to technology limitations(More)
In this paper we introduce a new type of pattern – a flipping correlation pattern. The flipping patterns are obtained from contrasting the correlations between items at different levels of abstraction. They represent surprising correlations, both positive and negative, which are specific for a given abstraction level, and which " flip " from positive to(More)
In the past, there have been dozens of studies on automatic authorship classification, and many of these studies concluded that the writing style is one of the best indicators for original authorship. From among the hundreds of features which were developed, syntactic features were best able to reflect an author's writing style. However, due to the high(More)
Owing to the rapid mounting of massive image data, image classification has attracted lots of research efforts. Several diverse research disciplines have been confluent on this important theme, looking for more powerful solutions. In this paper, we propose a novel image representation method <i>B2S</i> (<b>B</b>ag <b>to S</b>et) that keeps all frequency(More)
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is automated identification of suspicious movements. Due to the sheer volume of data associated with moving objects, it is challenging to develop a method that can efficiently and(More)
Symplastic glomus tumors are defined as glomus tumors with a high-grade nuclear pleomorphism in the absence of any other malignant features, such as large size, deep location, infiltrative growth, mitotic activity, or necrosis. Only 11 cases have been reported so far in the English literature. It could be a challenge for pathologists who have no experience(More)
A Cyber-Physical System (CPS) integrates physical devices (e.g., sensors, cameras) with cyber (or informational) components to form a situation-integrated analytical system that may respond intelligently to dynamic changes of the real-world situations. CPS claims many promising applications, such as traffic observation, battlefield surveillance and(More)
A Cyber-Physical System (CPS) is an integration of sensor networks with informational devices. CPS can be used for many promising applications, such as traffic observation, battlefield surveillance, and sensor-network-based monitoring. One key issue in CPS research is trustworthiness analysis of sensor data. Due to technology limitations and environmental(More)
Pattern-based classification has demonstrated its power in recent studies , but because the cost of mining discriminative patterns as features in classification is very expensive, several efficient algorithms have been proposed to rectify this problem, such as DDPMine [3], corrmine [14], and gPLS [17]. DDP-Mine obtains its efficiency by iteratively pruning(More)