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Mechanical systems operating in noisy environments create a challenging signal processing and monitoring problem especially in real-time. To detect a particular type of subsystem from noisy vibration data, it is necessary to identify signatures or particular features that make it unique. Resonant (modal) frequencies emitted during its normal operation satisfy this constraint. Monitoring structural...
Proper feature selection for unsupervised outlier detection can improve detection performance but is very challenging due to complex feature interactions, the mixture of relevant features with noisy/redundant features in imbalanced data, and the unavailability of class labels. Little work has been done on this challenge. This paper proposes a novel Coupled Unsupervised Feature Selection framework...
Person retrieval and indexing in video sequences is a challenging task for many multimedia applications. This paper proposes a new method that index the person based on the similarity. Firstly, the persons in a shot are detected and tracked through face detector and continuously adaptive mean shift algorithm. Then mid-level features such as clothes colors and voice are applied to represent the person...
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