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In this paper, we propose a l2,1-norm based discriminative robust transfer learning (DKTL) method for domain adaptation tasks. The key idea is to simultaneously learn discriminative subspaces by using the proposed domain-class-consistency (DCC) metric, and the representation based robust transfer model between source domain and target domain via l21-norm minimization. The DCC metric includes two parts:...
A novel sensor selection using pattern recognition technique in electronic nose (E-Nose) is proposed in this paper. This paper studies the portable E-Nose based on metal oxide semiconductor (MOS) gas sensors for detection of multiple kinds of indoor air contaminants. The characteristics of portability, low cost, multiple targets detection and high performance of E-Nose monitor are the main pursuit...
By virtue of an electronic nose, detection and concentration estimation of harmful gases indoor become feasible by using a multi-sensor system. The estimation accuracy in actual application is constantly aspired by manufactures and researchers. This paper analyzes the application of different bio-inspired and heuristic techniques to the problem of concentration estimation in experimental electronic...
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