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For the single-user multi-terminal scenario, a novel user service behavior prediction and optimization algorithm is proposed in this paper, which can realize the accurate prediction of service requirements and optimal selection of service terminals, so as to improve user QoE effectively. Firstly, by using an adaptive feedback based weight correction method, a modified entropy weighted Markov model...
In this paper, we show that for a given pair of metrics, such as IGTE vs. IGFE, number of packets vs. number of network flows, etc., the functional relation between them may be complex and can not be described perfectly by linear equation. In order to capture this complex relationship, we make use of evidence function framework to automatically determine the optimal model for the metrics. Then we...
Aspect-based opinion mining is to find elaborate opinions towards an underlying theme, perspective or viewpoint as to a subject such as a product or an event. Nowadays, with rapid growing of opinionated text on theWeb, mining aspect-level opinions has become a promising means for online public opinion analysis. In particular, the booming of various types of online media provide diverse yet complementary...
This paper focuses on the research of image segmentation accuracy problem because traditional Sobel operator image segmentation is easy to cause the vagueness of image segmentation, contrast is not apparent, segmentation accuracy is low. Directed against these defects, this paper puts forward an improved Sobel operator 2-d maximum entropy digital image segmentation method. This algorithm firstly carries...
How to make vision system work robustly under dynamic light conditions is still a challenging research focus in computer/robot vision community. In this paper, a novel camera parameters auto-adjusting technique based on image entropy is proposed. Firstly image entropy is defined and its relationship with camera parameters is verified by experiments. Then how to optimize the camera parameters based...
The epsilon-entropy was adopted as a measure of information in the analysis of linear Gaussian continuous time control systems under the consideration that the `virtual reproductions' of system input and output are subjected to a common high enough precision requirement. The function of system variety which describes the variation of time average information in system was defined as the difference...
In order to give an information theoretic interpretation to Bode integral of continuous time linear systems, the epsilon-entropy rate is adopted to measure time average uncertainty of continuous time stationary processes. The variety of system sensitivity function defined as the difference between epsilon-entropy rates of disturbance input and system output formulates how does the uncertainty of disturbance...
SPIHT (set partitioning in hierarchical trees) has given excellent results in terms of compression performance for majority images. However, it is not guaranteed to be optimal since the algorithm is not designed to explicitly consider the human visual system (HVS) characteristics. Extensive HVS research has shown that there are three perceptually significant activity blocks in an image: smooth, edge,...
Model reduction was studied by adopting the information theoretic principles and methods. A definition of system ldquocross-Gramian informationrdquo (CGI) was defined based on the information theoretic properties of the system cross-Gramian matrix. By analyzing the information descriptions of system states, the physical meanings of CGI was clarified from entropic points of view. The minimum loss of...
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