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In order to detect the health status of high-speed railway, various studies have been examined by Acoustic Emission (AE) method. However, little work has been done on studying the relationship between rail status and features of AE signals, and this relationship can be used to establish a detection criterion for rail health monitoring. This paper presents a methodology on rail health monitoring by...
Extraction of the essential features from massive bands is a key issue in hyperspectral images classification. Plenty of feature extraction techniques can be found in the literature but most of these methods rely on the linear/stationary assumptions. The aim of this paper is to propose an alternative methodology based on the ensemble empirical mode decomposition (EEMD) and utilize the versatile support...
Recently, much work have been done on text emotion classification. However, they mainly focused on the emotions expressed by authors instead of the readers. In addition, researches on simplified Chinese text emotion classification are extremely less. In this paper, we proposed a simplified Chinese text emotion classification based on readers' emotions. Mass of documents with readers' emotion tag are...
SVM is a novel statistical learning method that has been successfully applied in speaker recognition. However, Extractive feature vectors from the speech are overlapped and noisy is included in the original data space, these problems can lead to experience difficulties, training complication during training SVM, and the result will be reduced during the recognition phase. In this paper, a novel method...
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