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This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2...
Recently, several methods for single image super-resolution(SISR) based on deep neural networks have obtained high performance with regard to reconstruction accuracy and computational performance. This paper details the methodology and results of the New Trends in Image Restoration and Enhancement (NTIRE) challenge. The task of this challenge is to restore rich details (high frequencies) in a high...
Several recent studies have shown that dictionary learning and sparse representation can effectively reconstruct hundreds of interacting functional brain networks simultaneously from whole-brain fMRI data. However, accurate classification and recognition of those hundreds of functional networks from an individual or a population of many subjects is still a challenging and open problem due to the intrinsic...
With the explosive growth of medical information, the users not only query information efficiently and accurately, but also pay attention to the information of sensitivity and privacy. In medical domains, the current privacy preserving methods either use the technology of Access Control List, or need to prepare training documents for each privacy policy. However, it is a time-consuming and impractical...
Rating Prediction is a key problem in recommendation system, especially in Bigdata environment with data sparsity. Recently, Factorization Machine (FM) has been proven to be effective in solving the recommendation problem. Whereas, valuable category information of users and items are neglected in basic FM model. In this paper, we fully explore the capabilities of category information to improve the...
Nowadays, electronic equipments are using more widely specially at military equipment as the obvious effect on enhancing fighting strength of army. But the characters of complex structure, fuzzy technique and big cost among electronic equipment increase the difficulty of maintenance training. After the occurrence of virtual technique, virtual maintenance training becomes the newly way for maintenance...
Combat mission of battle plane is usually executed by plane fleet as a unit. Plane fleet can be divided into several team formations. Battle planes in different formations have different flight profiles, and cooperate with each other. The load conditions varied under different flight profiles. According to the influence of load conditions on battle plane's reliability, the flight profile conversion...
Currently there are many problems in the engineering education in China, mostly due to that the collaborations between universities and enterprises are so insufficient that the students are always lack of necessary engineering practice. Consequently, reformation of engineering education is needed in order to address this issue, in the background of which the project discussed in this paper is carried...
Trade barriers correct externalities, but distort trade as well, which brings negative effect on international distribution of resources. Study on how to recognize there are trade barriers or would-be threat of trade barriers in international trade is of great necessity. Based on previous studies, taking horticultural products as an example, this paper designs a general RBF neural network model to...
The traditional prediction model is not able to achieve a satisfying prediction effect in the problem of a non-linear system and nonstationary financial signal. The existing wavelet neural network has overcome the deficiency of traditional prediction model which is limited to linear system when predicting. However, wavelet neural network has a defect of confusing signal frequency. Based on the theory...
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