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Nonnegative Matrix Factorization (NMF) factorizes a nonnegative matrix into product of two positive matrixes, which is widely used in hyperspectral unmixing. However, the convergence speed of NMF is comparatively slower, and a large number of local minimum will be existed when it is directly adopted in the factorization of hyperspectral image mixed pixels. A modified hyperspectral unmixing method...
Structured light techniques are widely used for depth sensing. In this paper, we propose a single shot dual-frequency structured light based method to achieve dense depth in dynamic scenes. The projected pattern is a mixture of two different periodical waves whose phases are related to the change of color and intensity respectively, which can avoid the requirement of Fourier spectra separation in...
An approach is proposed to discover closed frequent itemsets with a simple linear list structure called the Frequent Pattern List(FPL) in transaction database. The approach selects representation patterns from candidate itemsets to reduce combinational space of frequent patterns. By performing two operations, signature vertex conjunction and vertex counting, it simplify the process of closed itemsets...
This paper presents a new resume algorithm for video image which is disturbed by motion blur. For innovation, the new algorithm makes the denoised region of motion object as the primary target, and with the discrete model, it gets valuable result. Firstly, the method calculates the differences between the neighboring frames. Secondly, it calculates the quadrinomial moment pixel by pixel to differentiate...
Predicting trend in futures prices time series has always been one of the hottest topics in research, as well as a challenging problem due to time series' volatility. In this paper we propose a new association rules mining algorithm, TB-SCM, which is based on Transaction Bool Matrix and Support Count Matrix, for predicting trend in futures prices to meet this challenge. Here, our algorithm mainly...
With the increasing prevalence of large scale cloud computing environments, how to place requested applications into available computing servers regarding to energy consumption has become an essential research problem, but existing application placement approaches are still not effective for live applications with dynamic characters. In this paper, we proposed a novel approach named EnaCloud, which...
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