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In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
The DESWeb workshop on "Data Engineering meets the Semantic Web" aims at bridging the gap between the recent advent of Semantic Web technologies and the well-established database techniques. As it has...
Inconsistency checking is a method for detecting software errors that relies only on examining multiple uses of a value. We propose that inconsistency inference is best understood as a variant of the ...
Language designers and implementors have avoided specifying and preserving the meaning of programs that produce errors. This is apparently because being forced to preserve error behavior severely limi...
Automatically recognizing a large number of action cat-egories from videos is of significant importance for video understanding. Most existing works focused on the design of more discriminative featur...
Word embeddings have recently proven useful in a number of different applications that deal with natural language. Such embeddings suc-cinctly reflect semantic similarities between words based on thei...
A robusttting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy inputdata and outliers. Furthermore it should be capable of h...
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a ...
Nowadays, there are so many increasing amount of information within world-wide web. For these increasing amounts of information, we need efficient and effective index structure when we have to find ne...
Semantic labeling is the task of assigning category labels to regions in an image. For example, a scene may consist of regions corresponding to categories such as sky, water, and ground, or parts of a...
Using Semantic Unification to Generate Regular Expressions from Natural Language。
The integration of the two fast-developing scientific research areas Semantic Web and Web Mining is known as Semantic Web Mining. The huge increase in the amount of Semantic Web data became a perfect ...
Information technology have changed information media by networking and internet using technology in health as same as another part improve efficiency and effectiveness. Currently, the medical documen...
The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can expres...
The paradox of visual polysemia and concept polymorphism has been a great challenge in the large scale semanticimage search. To address this problem, our paper proposesa new method to generate image V...

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