During the development of a software, its source code is continuously being modified. Even after the deployment, the maintenance work still involves changing the source code. Some of the modification performed on the ...
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state Machine Diagram (SMD) is one of the SysML behavior diagrams, but it is a kind of semi-formal model language. As a consequence, models can not be verified conveniently and efficiently, especially in real-time emb...
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With the rapid growth of web data, a large amount of web videos are availab.e online. However, how to organize them for facilitating users' experience and government supervision remains a problem yet to be serious...
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Composing and reusing services is the main advantage of Service Oriented software Engineering (SOSE). Faced with the large amount of Web services which are availab.e on World Wide Web, how to select and recommend suit...
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In this paper, a discriminant manifold learning method based on Locally Linear Embedding (LLE), which is named Locally Linear Representation Fisher Criterion (LLRFC), is proposed for the classification of tumor gene e...
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Discriminative structured prediction models have been widely used in many natural language processing tasks, but it is challenging to apply the method to semantic parsing. In this paper, by introducing hybrid tree as ...
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ISBN:
(纸本)9781577356332
Discriminative structured prediction models have been widely used in many natural language processing tasks, but it is challenging to apply the method to semantic parsing. In this paper, by introducing hybrid tree as a latent structure variable to close the gap between the input sentences and output representations, we formulate semantic parsing as a structured prediction problem, based on the latent variable perceptron model incorporated with a tree edit-distance loss as optimization criterion. The proposed approach maintains the advantage of a discriminative model in accommodating flexible combination of features and naturally incorporates an efficient decoding algorithm in learning and inference. Furthermore, in order to enhance the efficiency and accuracy of inference, we design an effective approach based on vector space model to extract a smaller subset of relevant MR productions for test examples. Experimental results on publicly availab.e corpus show that our approach significantly outperforms previous systems.
Depth of Field (DoF) is an indispensable feature of photo realistic rendering and photography retouching. In this paper, we propose an image-based rendering technique which can simulate the depth-of-field effect. The ...
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Depth of Field (DoF) is an indispensable feature of photo realistic rendering and photography retouching. In this paper, we propose an image-based rendering technique which can simulate the depth-of-field effect. The proposed technique can render the depth-of-field effect automatically without any interactions. Compared to the ordinary depth-of-field rendering technique, our algorithm is less time-consuming and needs no additional depth maps to assist the depth-of-field rendering. In our proposed algorithm, the saliency detection technique is employed to simulate the depth information. The flash-based technique is also introduced to promote the final depth-of-field rendering visual effect.
We present CCMC (Conditional CSL Model Checker), a model checker for continuous-time Markov chains (CTMCs) with respect to properties specified in continuous-time stochastic logic (CSL). Existing CTMC model checkers s...
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We present an automata-based model for describing the behaviors of software components. This extends our previous work by allowing internal behaviors. In order to improve the techniques for checking if two component c...
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Presently, the research on evolution of SOA solution is becoming more and more important in industry. It is necessary to extract a taxonomy framework for evolution of SOA solution because by using it, evolution of SOA...
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