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...
ISBN:
(纸本)9781622761715
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 information, as well as improved reordering between any two neighboring non-terminals at any stage of a derivation to explore a larger reordering search space. Experiments on Chinese-English translation on four NIST MT test sets show that the HD-HPB model significantly outperforms Chiang's model with average gains of 1.91 points absolute in BLEU.
A group key assignment scheme based on multi-dimensional space circle properties is proposed, which enable the members of a group to obtain the group key by both the public information published on the notice board an...
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A group key assignment scheme based on multi-dimensional space circle properties is proposed, which enable the members of a group to obtain the group key by both the public information published on the notice board and the secret information of their own. The proposed scheme can be divided into three phases: user registration, group key assignment, and group key computation. The proposed scheme has such advantages as easy operations of group key update and member's join/leave, and the security properties of forward secrecy and backward secrecy.
Clear image stitching becomes mature now, but how to stitch blurred images with clear ones is still tough, mainly because of the ill-posed image deblurring. Existing deblurring methods assume spatial-invarint blur ker...
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Fast Fourier Transform (FFT) is a well known and widely used tool in many scientific and engineering fields. CUFFT, which is the NVIDIA's FFT library included in the CUDA toolkit, supports double precision FFTs. H...
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An efficient SAR image fusion algorithm for multi - polarimetric images based on Directionlets transform is proposed. Directionlets transform is a new lattice-based multiscale analysis anisotropic multi-directional wa...
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Contourlet transform is the combination of the multi-scale analysis and multi-directional analysis in processing high-dimensional signals and has better approximation precision and better sparse description. Firstly, ...
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In this paper we present a novel wireless sensor node design, called BodyANT. BodyANT has a miniature outline of 20×10×3mm and reaches almost 5 days of battery operation when continuously transmitting accele...
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ISBN:
(纸本)9789639799417
In this paper we present a novel wireless sensor node design, called BodyANT. BodyANT has a miniature outline of 20×10×3mm and reaches almost 5 days of battery operation when continuously transmitting acceleration data at 32 Hz. We evaluate the performance of BodyANT in an extensive set of lab.ratory and naturalistic experiments over multiple days. Our sensor node implementation showed robust performance for up to eight simultaneously operating nodes. We deployed three BodyANT nodes in a study of daily activities in combination with two further devices, a heart rate monitor, and a GPS receiver and analysed the network performance over multiple recording days. The data loss per sensor node in the experiment was 3.3% on average. We present and discuss detailed results on data losses per user activity. Our results demonstrate the feasibility of using BodyANT for long-term activity monitoring and recognition applications. Copyright 2009 ICST.
Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to phrase/rule-based paradigm. We therefor...
ISBN:
(纸本)9781622761715
Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to phrase/rule-based paradigm. We therefore propose a topic similarity model to exploit topic information at the synchronous rule level for hierarchical phrase-based translation. We associate each synchronous rule with a topic distribution, and select desirable rules according to the similarity of their topic distributions with given documents. We show that our model significantly improves the translation performance over the baseline on NIST Chinese-to-English translation experiments. Our model also achieves a better performance and a faster speed than previous approaches that work at the word level.
Standard backprojection technique is used in typical through-wall synthetic aperture radar (TWSAR) image, it implicitly assumes infinite beamwidth, whereby the entire target area is illuminated and returns are collect...
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The finite difference time domain (FDTD) is a powerful method in electromagnetic simulation and also widely used in research of the metamaterials recently. In this paper a novel FDTD method based on split operator is ...
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