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Several models based on deep neural networks have applied to single image super-resolution and obtained great improvements in terms of both reconstruction accuracy and computational performance. All these methods focus either on performing the super-resolution (SR) reconstruction operation in the high resolution (HR) space after upscaling with a single filter, usually bicubic interpolation, or optimizing...
IHDR approach is an effective method for classification in AMD framework. This paper presents a new approach based on IHDR, which provides a developmental region merging method by transforming the merging process into classification process. After features and actions are defined for region merging based on IHDR tree, integrate segmentation algorithm and incremental training strategy are addressed...
The non-existence of triangular arbitrage in an efficient foreign exchange markets is widely believed. In this paper, we deploy a forecasting model to predict foreign exchange rates and apply the triangular arbitrage model to evaluate the possibility of an arbitrage opportunity. Surprisingly, we substantiate the existence of triangular arbitrage opportunities in the exchange rate forecasting market...
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