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This study aims to meet requirement of rapid detection of the TBM (tunnel boring machine) tool's wear state. To this end, the local region-growing method based on normalized cross-correlation was proposed to detect the block slag on belt conveyor and the least-square method for ellipse fitting was employed to measure the size. Firstly, the monocular color image was decomposed into two gray-scale images...
Deep convolutional networks have achieved successful performance in data mining field. However, training large networks still remains a challenge, as the training data may be insufficient and the model can easily get overfitted. Hence the training process is usually combined with a model regularization. Typical regularizers include weight decay, Dropout, etc. In this paper, we propose a novel regularizer,...
In this manuscript, we propose a sparse self-representation (SSR) method to select a band subset in hyperspectral imagery (HSI) classification. The SSR method improves from multiple measurement vectors (MMV) with the measurement matrix equals to the observation matrix. The SSR regards that each band could be represented as a linear combination of the representatives of all bands and accordingly all...
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