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Recently, many deep networks are proposed to learn hierarchical image representation to replace traditional hand-designed features. To enhance the ability of the generative model to tackle discriminative computer vision tasks (e.g. image classification), we propose a hierarchical deconvolutional network with two biologically inspired properties incorporated, i.e., non-negative sparsity and selectivity...
There is a rapidly growing interest in corporate social responsibility (CSR), especially in the current global financial crisis. We briefly review the development of CSR and point out in China the research is quite frequently immature and heavily qualitative. To facilitate the development, we propose a quantitative way to measure CSR and formulate CSR in a multiple objective portfolio selection model...
Aiming at the risk management that electricity purchasers will face in power purchase of four markets under the framework of the electricity market, two purchasing electricity models about the restrictions or non-restriction are set up by means of Variance measuring risk. Meanwhile, this paper also proposes several feasible algorithms to minimize risks, including statistical genetic algorithms (SGA)...
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