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Remote homology detection between protein sequences is a central problem in computational biology. This may help to identify functional and structural classes of proteins. This paper uses a modularity-based method, which maximizes the modularity of protein network to find the partitioning with strong community structure, for clustering protein sequences. The experiments based on the superfamily level...
The wavelet transform modulus extremum is considered as one of the most meaningful characteristics of a signal. This paper proposes a feature based on the density of modulus extrema of the wavelet frame representation for texture classification. It is compared with existing features by using three representative classifiers, k-nearest neighbor classifier, learning vector quantization and support vector...
The document image segmentation is an important component in the document image understanding. kernel-based methods have demonstrated excellent performances in a variety of pattern recognition problems. This paper applies kernel-based methods and Gabor wavelet to the document image segmentation. The feature image are derived from Gabor filtered images. Taking the computational complexity into account,...
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