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A neural network for a pattern recognition model is developed for the first time to predict the diffusion behavior of the model diesel components (dibenzothiophene and quinolone) in three different membranes of polyvinyl alcohol, polyvinyl chloride and polymethyl acrylate. The simulation results show that the excellent performance target parameter optimization area can be obtained and the effective...
The key frame extraction is designed for obtaining a (very) compressed set of video frames that summarizes the essential content of a video sequence. In this paper, a well-known information theoretic measure, the Jensen-Rényi divergence (JRD), is studied to estimate the frame-by-frame distance between consecutive video images, for segmenting shots/subshots and for choosing key frames. Our new key...
In this paper, a new concept of generalized lambda-fuzzy measure is introduced, and it is a non-negative, extended real-valued set function satisfying generalized sigma - lambda - rule, and is not necessarily monotone. The relationships between this new concept and lambda-fuzzy measure, a signed measure and so on, are discussed, and it is worth noting that any generalized lambda-fuzzy measure is a...
It is generally thought that semantic and grammatical information was very significant to better understanding and processing of text. But in simple text categorization task, absence of this information does not always lead to the degradation of classifier performance. In this paper, we discuss the application of the character-level statistical method in text categorization, which extract character-level...
Recently several manifold learning algorithms have been presented for nonlinear dimensionality reduction. Isomap is one of them. However, Isomap suffers from a deficiency that it does not give an explicit mapping function, which is from high dimensional space to low dimensional target space. In this paper, a version of Isomap with explicit mapping, called E-Isomap, is proposed. In E-Isomap, the geodesic...
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