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In view of the emotional polarity classification problem, the deep learning has the disadvantages of incomplete information extraction and low precision, a model combining bi-directional gated recurrent unit with multiple convolution neural network is proposed. The unit is used to extract the history and future information of the sentence, then use the multi-convolution neural network for system training,...
Due to the high volume of information and electronic documents on the Web, it is almost impossible for a human to study, research and analyze this volume of text. Summarizing the main idea and the major concept of the context enables the humans to read the summary of a large volume of text quickly and decide whether to further dig into details. Most of the existing summarization approaches have applied...
Internet inquiry is playing an increasingly important role as the complement of the traditional medical service system, especially the similar cases recommendation. It can not only save the patients' waiting time, but also make use of the historical resources, for many cases with the same purpose have been solved perfectly. However, because of the diversity and non-standard of the patients' descriptions,...
Similar cases recommendation is more and more popular in the internet inquiry. There have been lots of cases which have been solved perfectly, and recommending them to similar inquiries can not only save the patients' waiting time, but also giving more good references. However, the inquiry platform cannot understand the diversity of description, i.e. the same meaning with different description. This...
This paper presents a simple and effective framework that can detect irrelevant short text contents following blogs and news articles, etc. in a context-aware and timely fashion. Nowadays, websites such as Linkedin.com and CNN.com allow their visitors to leave comments after articles, and spammers are exploiting this feature to post irrelevant contents. Visited by millions of readers per day, these...
It is essential to detect the state of EMU's component while running, since any small and subtle failure may cause major accidents in high-speed running. The traditional detection approach adopts the image matching technology, which suffers from the problem when the two images dislocation. The drawback stems from the image matching approach based on the visual features only easily affected by the...
To understand which concepts are visualizable and to what extent they can be visualized are worthwhile for multimedia and computer vision research. Unfortunately, few previous works have ever touched such topics. In this paper, we propose an unified model to automatically identify visual concepts and estimate their visual characteristics, or visualness, from a large-scale image dataset. To this end,...
Dimension reduction is an important component in automatic text categorization, especially biomedical literature classification. Many studies have showed that statistic-based dimension reduction algorithms, like Information Gain (IG), are very effective in document categorization. However these algorithms still suffer from major drawbacks. One facet is that they tend to use all the words as features...
Although it has been extensively studied for many years, automatic image annotation is still a challenging problem. Recently, data-driven approaches have demonstrated their great success to image auto-annotation. Such approaches leverage abundant partially annotated web images to annotate an uncaptioned image. Specifically, they first retrieve a group of visually closely similar images given an uncaptioned...
Text feature is usually expressed as a matrix of huge dimensionality in text mining, and common clustering algorithm are not stable and cannot obtain clustering solution efficiently. Latent Semantic Analysis can reduce dimensionality effectively, and emerges the semantic relations between texts and terms. Clustering ensemble can get better clustering solution than single clustering method. A text...
Recently, probabilistic systems have been widely used. People have drawn attention to counterexample generation for probabilistic system model checking. Current works are mainly focusing on the counterexample generation for Markov chains. Probabilistic timed automata (PTA) is the extension of Markov chain with non-determinism and system clocks. This paper focuses on counterexample representation while...
On the basis of shortage existing in traditional WebGIS, this paper puts forward a novel WebGIS framework based on Ajax, Web Services and SOA. The framework combines Ajax with Web Services. Through invocating Web services asynchronously by Ajax, the problems of poor user experience, system isomeric compatibility, system integration and mutual operation etc. are solved. The conclusion means a great...
In current service composition efforts, the intermediate products such as data and related process fragments are neglected in many cases when the deviation occurs from predefined composition. The lack of adequate provenance support makes it not convenient when building the composition in an exploratory fashion. In this paper, we present ViPen model, and illustrate its operations to enhance the provenance...
Though it has cost great research efforts for decades, object recognition is still a challenging problem. Traditional methods based on machine learning or computer vision are still in the stage of tackling hundreds of object categories. In recent years, non-parametric approaches have demonstrated great success, which understand the content of an image by propagating labels of its similar images in...
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