Zhen Ji

TL;DR: Experimental results demonstrate that, compared with some relevant and recent methods for band selection, the bands chosen by affinity propagation best represent the hyperspectral imagery from the pixel image classification standpoint.

TL;DR: It is pointed out that Zhou's encryption scheme is not secure enough from strict cryptographic viewpoint because the dynamical degradation of the computerized piecewise linear chaotic map employed by Zhou et al. induces many weak keys to cause large information leaking of the plaintext.

TL;DR: Experimental results demonstrate that the bands selected by the approach on the whole data (containing noise bands) could achieve higher overall classification accuracies than those by other state-of-the-art feature selection techniques on the manual-band-removal (MBR) data, even better than the bands identified by the proposed approaches on the MBR data.

TL;DR: A sequence-based approach is developed by combining a novel Multi-scale Continuous and Discontinuous (MCD) feature representation and Support Vector Machine (SVM) that can sufficiently capture multiple overlapping continuous and discontinuous binding patterns within a protein sequence.

TL;DR: The experimental results suggest that the cooperation of CLPSO and AdpISPO in the framework of memetic algorithm is capable of searching the ARV codebook space efficiently.