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Automated detection and recognition of human abnormal behavior is the key problem of monitoring systems. We construct a complete system that is able to alert the human operator when a knife in hand is visible in camera views. We use RealSense 3D camera to track hands, modified MPEG-7 EHD as feature vector and none-linear SVM as classifier. In this paper, we improve the feature extraction algorithm...
This paper proposes a word-by-word model selection approach to domain adaptation for Word Sense Disambiguation. By this approach, the model for a target word is automatically selected from a candidate model set, which is comprised of improved self-training models and a supervised model. The improved self-training uses sense priors to prevent its iteration from converging into undesirable states. Experimental...
A method for the segmentation of synthetic aperture radar (SAR) image is presented in this paper. The method integrates the use of multi-scale technology, mixed-model information and support vector machines (SVM). First, the multi-scale autoregressive (MAR) model is modeled for multi-scale sequence of SAR image, and a multi-scale features, which is used as input of SVM, are extracted via the MAR model...
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