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Traditional internet architecture is challenged and it cannot satisfy the growing demand of todays networks. Information-centric Networks (ICN) is regarding as a promising replacement to meet this trend. The main characteristic in ICN is Content Store (CS), which is used to enable users to retrieve data from nearby nodes instead of remote server. However, with the limited storage capacity of routers,...
The location selection (LS) problem aims to mine the optimal location to place a new facility from a set of candidates such that the benefit or influence on a given set of objects is maximized. State-of-the-art LS techniques assume each object is static and can only be influenced by a single facility. However, in reality, objects (e.g., people, vehicles) are mobile and are influenced by multiple facilities...
We study sequential change-point detection using sketches (or linear projections) of the high-dimensional data vectors, and present a new sketching procedure, which is based on the generalized likelihood ratio statistic. We derive theoretical approximations to two fundamental performance metrics for the sketching procedures: the average run length (ARL) and the expected detection delay (EDD), and...
Students may inevitably make errors when learning mathematics. We should positively regard these errors, which could be used as a valuable learning resource. For this reason, this study designed a computer-based learning game, called Math Detective. The game comprised a learning process of error detection, correction and explanation. In this game, students can play the role of detectives to find out...
Tree models for human pose estimation have been prevailed in the last decade, which are effective in human pose estimation. This paper aims to incorporate the appearance symmetry of human limb parts into tree model and address the problem of the wrong detection of human limbs. For a pair of symmetrical limbs, such as for legs and arms, their appearances are similar that can use a distance to represent...
Both audio and visual information can be useful for speaker identification in videos. This paper proposes an audio-visual speaker identification approach that benefits from a multi-view distance metric learning method. Our metric learning scheme not only builds distance measures based on the label information of training data but also the consistency of different views. In this way, better metrics...
Looper control system based on inverse linear quadratic (ILQ) method, since the variable parameters are limited, it can not guarantee the decoupling control affection, meanwhile, because of changing of device model, it also can weak control affection. In connection with the problem above, combining model reference with ILQ control, the controller of looper control system by model-reference inverse...
In this paper, we propose a new method for text summarization. The system finds topic word and event word firstly, and then recalculates word weight. Using recalculated word weight to compute similarly of paragraphs to search local topics units. The most representative sentences in each local topic unit are selected as the summary sentences. By analyzing semantic structure of the documents first,...
This paper discusses an approach to multi-document summarization that builds on understanding word as feature deeply. We created 7 basic word features using the frequency, position information, event information and topic information. Then choose logistic regression model to compute words value. The summarizer gives a score of sentence by words value, and combines score and redundancy of sentence...
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