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Deep learning is widely used in computer vision. In this study, we present a new method based on Convolutional Neural Networks (CNN) and subspace learning for face recognition under two circumstances. A very deep CNN architecture called VGG-Face, which learned on a large scale database, is used as feature extractor to extract the activation vector of the fully connected layer in the CNN architecture...
Vehicle detection can provide volumes of useful data for city planning and transport management. It has always been a challenging task because of various complicated backgrounds and the relatively small sizes of targets, especially in high resolution satellite images. A novel model called joint-layer deep convolutional neural networks (JLDCNNs), which joins features in the higher layers and the lower...
Accurately and effectively measuring the similarity between terms is one way to enhance the performance of information retrieval systems. At present, the extended data source which is used for Mongolian semantic query expansion is still not perfect. A new query expansion method based on Mongolian semantics is proposed for expressing the user's intention more precisely. This query expansion method...
Learning from advanced international CDIO engineering education philosophy to solve the problems of traditional "data structure" teaching, we apply CDIO philosophy to "data structure" teaching, and regarding the projects as the carriers, we proposed the specific reform measures in three areas: teaching organization, teaching methods and assessment model. After practicing, we achieved...
Occlusion and "one sample per person" are two challenging problems for face recognition and still not well solved till now. This paper investigates the two problems and proposes a novel method based on sparse local features to solve them. The contribution of our work is three-fold: first, the key characteristics of successful applying SIFT features for face recognition are analyzed. Second,...
Cost management of human resources is the sum of expenditures that an organization acquires, develop, use and ensure necessary human resources and disburse the leaving cost of human resources in order to achieve their goals, to create the best economic and social benefits. The object of cost management of human resources is human resources. Human resources and other things, also has a life cycle,...
Aimed at the problem during the pipeline leakage state detecting process, that the datum which the sensor directly surveys are quite big and the characteristic are not strong, this paper brings forward one pipeline leakage state classification method, which combines the wavelet packet analysis and support vector machines. Through using the wavelet packet to the original data, carrying on the frequency...
This paper investigates the co-training algorithm and its assumption that the features set can be split into two compatible and independent views. However, the assumption is usually violated to some degree in real-world application, especially for independence. Sometimes the natural feature split does not exist. So a novel features partition algorithm, named Partition-MID, has been proposed. We give...
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