Sparse representation has been validated to be a common phenomenon in many sensory neural systems, but its underlying neural mechanism still remains unclear. This paper proposes a neurally plausible model towards solv...
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With the development of Internet and cloud computing, multimedia data, such as images and videos, has become one of the most common data types being processed. As the scale of multimedia data being still increasing, i...
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Block transform coding using discrete cosine transform is the most popular approach for image compression. However, many annoying blocking artifacts are generated due to coarse quantization on transform coefficients i...
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Web question answering (WQA) and Semantic Web services are currently two separate fields in intelligent web research, but in practical application, they are usually highly correlative. This article combines the techni...
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In this paper, an efficient two-stage segmentation framework was proposed to address the plant leaf image with overlapping phenomenon, which is built based on the leaf approximate symmetry and level set evolution theo...
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This paper presents an extension of Chiang's hierarchical phrase-based (HPB) model, called Head-Driven HPB (HD-HPB), which incorporates head information in translation rules to better capture syntax-driven informa...
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Chiang's hierarchical phrase-based (HPB) translation model advances the state-of-the-art in statistical machine translation by expanding conventional phrases to hierarchical phrases - phrases that contain sub-phra...
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The Trusted computing Group has proposed Trusted Network Connection (TNC) Architecture and a series of interface specifications, such as IF-T and IF-TNCCS, to solve the interoperability of network access control. In p...
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We propose a general hierarchical vertical classification framework, which can automatically discover the inherent hierarchical structure of relationships among verticals based on flat datasets, and then build a hiera...
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Recent researches on data clustering is increasingly focusing on combining multiple data partitions as a way to improve the robustness of clustering solutions. Most of them focused on crisp clustering combination. Sem...
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