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This paper introduces the entire roadmap and detailed research methods of our NSFC project. A three-stage roadmap is proposed for energy store application of marine power station, and called upon to solve the key issues of health feature rapid extraction and modeling for battery pack. Efficient numerical modeling, rapid ICA and EIS testing and degradation of key features investigating makes the acquirement...
With the rapid development of e-commerce, a large number of product reviews have arisen on the Internet. Sentimental orientation analysis and mining of product reviews become important for the study of the product reputation. Sentiment analysis takes the form of analyzing and classifying the reviews contents about a product, event, and place etc into positive, negative or neutral opinion. In this...
We introduce a Multiple Granularity Analysis framework for video segmentation in a coarse-to-fine manner. We cast video segmentation as a spatio-temporal superpixel labeling problem. Benefited from the bounding volume provided by off-the-shelf object trackers, we estimate the foreground/ background super-pixel labeling using the spatiotemporal multiple instance learning algorithm to obtain coarse...
In this paper, we propose an approach for text-independent speaker verification system usage both cepstral and prosodic features. We combine MFCC features and pitch contour features to capture the characteristics in speaker verification. We are using cubic polynomials to estimate the pitch contour segments in order to model the differences on intonation contour, and using the support vector machine...
In the infrared target detection, the size of structural element tend to be set as pre-determined size, when using the traditional morphological filter based on Top-Hat transform for suppressing the background of the digital infrared image. However, if the target size is unknown or keep changing in the successive frames, the fixed size of the structural element can not meet the detection requirement...
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