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According to the World Health Organization (WHO)1, an early detection of cancer greatly increases the chances of making the right decision in a successful treatment plan. Over the last decade, the increasing world-wide demand for early detection of breast cancer at the hospitals has resulted in necessity of new research avenues. The traditional domain knowledge based diagnostic method requires hand-crafted...
In compressive tracking algorithms, a feature reduction projection matrix is constructed by using compressed sensing theory. Target and non-target objects are discriminated by using a naive Bayesian classifier. Such an algorithm may ensure accuracy of target tracking in real-time. But it is not adaptive for tracking with respect to scales and rotations. In this paper, we propose a novel adaptive algorithm...
It is obvious that the characters are illegible and the printing is rough on the package of fake cigarettes compared to genuine ones. According to the differences of comparison, we can make a two-class classifier to conduct cigarette authentication. in this paper, we firstly both extract morphological features of fake and genuine cigarettes and then use them as training sample sets to train a two-class...
An integrated silhouette with perfect appearance is helpful for gait recognition. However, the silhouettes often have holes or missing parts, because the commonly used motion detection and extraction methods are not always suitable for every case. A robust post-processing strategy is proposed here to refine the raw silhouettes. First, an individual silhouette model which represents the mutual characteristic...
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