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This paper presents a PBIL algorithm based on adaptive theory-giving that the traditional reduction of rough set is not unique and the process lasts for a long time. The learn probability and mutation rate of traditional PBIL algorithm can change adaptively by introducing the Systemic Entropy, then a self-learning and adaptive variability PBIL algorithm (APBIL) is formed. When it is applied to attributes...
Compared with gray feature, the Gabor feature is more effective for facial image representation. But in practice, the dimension of a Gabor feature is so high that the computation is prohibitively large. In this paper, We use the two-dimensional principal component analysis (2DPCA) to reduce the dimension and then replace the original gray feature with the Gabor feature vector of reduced dimension...
The spatial-hidden Markov model (SHMM) is a two dimensional generalization of the traditional hidden Markov model (HMM), with the capability of blockbased semantic annotation as well as classification of images. In this paper, we conduct a sensitivity analysis of SHMM in semantic classification with respect to different block sizes and from this analysis, we propose a novel multi-scales SHMM that...
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