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In this article an new approach is proposed to train a convolutional neural network with only very less training samples. In order to recognize the objects represented by the few positive samples in high accuracy, a set of rules are used to automatically extend the less training samples to a large number of training samples which cover the sample space as complete as possible. The methods of sample...
Computer vision is widely used at present. However, fruit recognition is still a problem for the stacked fruits on weighing scale because of complexity and overlap. In this paper, a fruit recognition algorithm based on convolution neural network(CNN) is proposed. At first the image regions are extracted using selective search algorithm, then the regions have been selected by means of an entropy of...
Eyes state detection is a very important issue in the driver's fatigue detection. In this paper, a novel method is proposed to solve the difficulties and shortcomings in the eyes state detection. Gray-scale transformation and median filtering are used to preprocess images. And then, Adaboost algorithm is used to train the cascade strong classifiers based on the characteristics of Haar to extract the...
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