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Binary classification problem is one of the mainstream research in pattern recognition field. This study proposed a modified fruit-fly optimization algorithm (FOA), which can find an eligible begin location of the FOA as starting location before running the FOA's procedure, and in the FOA's processing, the SVM parameters is modified by dynamically updating the location of each fruit-fly and the optimal...
In order to improve the software reliability early, this paper proposes an efficient algorithm to select fault-prone software module. Based on software module's complexity metrics, the algorithm uses modified cascaded-correlation algorithm as neural network classifier to select the fault-prone software module. Finally, by analyzing the algorithm's application in the project MAP, the paper shows the...
In this paper, we present a symmetrical invariant LBP (SILBP) texture descriptor based on the texture pattern equivalent, which is defined according to visual perception of textures. Then we extend the SILBP to linear SILBP. Our experiments on image retrieval show that the proposed texture discriptor has the advantages of symmetrical invariant, rotation robustness and computing simplicity.
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