Recently, convolutional neural network (CNN) has led to significant improvement in the field of computer vision, especially accuracy and speed semantic segmentation tasks, which greatly improved robot scene perception. In this article, we propose a multilevel feature fusion dilated convolution (Refine-DeepLab). By improving space pyramid pooling structure, multiscale hybrid module, captures ric...

Detrended fluctuation analysis (DFA) has been proposed by Peng et al. [1] to be used on biomedical data. It originates from fractal analysis and reveals correlations within data series across different time scales. Jennings et al. [2] used a DFA-derived feature, the detrended variance fluctuation exponent, for musical genre classification introducing the method to the music analysis field. In t...

In this article, we propose a novel system for feature selection,which is one of the key problems in contentbased image indexing and retrieval as well as various other researchfields such as pattern classification andgenomic data analysis. The proposed system aims at enhancing semantic image retrieval results, decreasing retrieval process complexity, and improving the overall system usability f...

In most tasks related to opinion mining and sentiment analysis, it is necessary to compute the semantic orientation (i.e., positive or negative evaluative implications) of certain opinion expressions. Recent works suggest that semantic orientation depends on application domains. Moreover, we think that semantic orientation depends on the specific targets (features) that an opinion is applied to...