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On string languages generated by sequential spiking neural P systems based on maximum spike number 1

13th International Conference on Unconventional Computation and Natural Computation, UCNC 2014

作者： Jiang, Keqin Zhang, Yuzhou Pan, Linqiang Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan 430074 Hubei China School of Computer and Information Anqing Normal University Anqing 246133 Anhui China

ISBN: (数字)9783319081236

ISBN: (纸本)9783319081229

Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, we consider SN P systems with the restriction: at each step the neuron with the maximum number of spikes among the neurons that can spike will fire (if there is a tie for the maximum number of spikes stored in the active neurons, only one of the neurons containing the maximum is chosen non-deterministically). We investigate the computational power of such sequential SN P systems that are used as language generators. We prove that recursively enumerable languages can be characterized as projections of inverse-morphic images of languages generated by that sequential SN P systems. The relationships of the languages generated by these sequential SN P systems with finite and regular languages are also investigated. © 2014 Springer International Publishing Switzerland.

关键词： Neurons

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Molecular model for information addressing and transporting based on DNA nanotechnology

Communications in Computer and Information Science

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Communications in Computer and information Science 2014年 472卷 29-34页

作者： Chen, Zhihua Qiang, Xiaoli Zhang, Kai Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China College of Computer Science South-Central University for Nationalities WuhanHubei430074 China School of Computer Science Wuhan University of Science and Technology WuhanHubei430081 China

ISBN: (纸本)9783662450482

DNA-based information processing includes storage, addressing, transporting and error-correction, etc. Here we describe a feasible model that can extract and transport the information from specified sources to targeted destinations. This model is established based on the DNA nanotechnologies of hybridization, DNA strand displacement and nanoparticle aggregation reactions. By adding the extracting strands, the data strands of specified sources can be extracted, and then transported to the targets by the transporting strands. The result could be detected by observing the change of color through the naked eyes. Theoretical analysis indicates that thismodel could achieve the parallel information extracting and transporting from different specified sources to different targeted destination, which offers a realistic technology for the flexibility of managing information. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Error correction

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A dependency edge-based transfer model for statistical machine translation 25

A dependency edge-based transfer model for statistical machi...

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25th International Conference on Computational Linguistics, COLING 2014

作者： Chen, Hongshen Xie, Jun Meng, Fandong Jiang, Wenbin Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China CNGL School of Computing Dublin City University Ireland

ISBN: (纸本)9781941643266

Previous models in syntax-based statistical machine translation usually resort to some kinds of synchronous procedures, few of these works are based on the analysis-transfer-generation methodology. In this paper, we present a statistical implementation of the analysis-transfergeneration methodology in rule-based translation. The procedures of syntax analysis, syntax transfer and language generation are modeled independently in order to break the synchronous constraint, resorting to dependency structures with dependency edges as atomic manipulating units. Large-scale experiments on Chinese to English translation show that our model exhibits state-of-the-art performance by significantly outperforming the phrase-based model. The statistical transfer-generation method results in significantly better performance with much smaller models.

关键词： Syntactics

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A novel rule refinement method for SMT through simulated post-editing 3

A novel rule refinement method for SMT through simulated pos...

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3rd CCF Conference on Natural Language processing and Chinese Computing, NLPCC 2014

作者： Yang, Sitong Yu, Heng Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China CNGL School of Computing Dublin City University Ireland

ISBN: (纸本)9783662459232

Post-editing has been successfully applied to correct the output of MT systems to generate better translation, but as a downstream task its positive feedback to MT has not been well studied. In this paper, we present a novel rule refinement method which uses Simulated Post-Editing (SiPE) to capture the errors made by the MT systems and generates refined translation rules. Our method is system-independent and doesn’t entail any additional resources. Experimental results on largescale data show a significant improvement over both phrase-based and syntax-based baselines. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Computational linguistics

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Review and analysis of China workshop on machine translation 2013 evaluation 11

Review and analysis of China workshop on machine translation...

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11th Conference of the Association for Machine Translation in the Americas, AMTA 2014

作者： Yang, Sitong Yu, Heng Zhao, Hongmei Liu, Qun Iü, Yajuan Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China CNGL School of Computing Dublin City University Ireland

This paper gives a general review and detailed analysis of China Workshop on Machine Translation (CWMT) Evaluation. Compared with the past CWMT evaluation campaigns, CWMT2013 evaluation is characterized as follows: first, adopting gray-box evaluation which makes the results more replicable and controllable;second, adding one rule-based system as a counterpart;third, carrying out manual evaluations on some specific tasks to give a more comprehensive analysis of the translation errors. Boosted by those new features, our analysis and case study on the evaluation results shows the pros and cons of both rule-based and statistical systems, and reveals some interesting correlations bewteen automatic and manual evaluation metrics on different translation systems. © The Authors.

关键词： Computational linguistics

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RED: A reference dependency based MT evaluation metric 25

RED: A reference dependency based MT evaluation metric

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25th International Conference on Computational Linguistics, COLING 2014

作者： Yu, Hui Wu, Xiaofeng Xie, Jun Jiang, Wenbin Liu, Qun Lin, Shouxun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China CNGL School of Computing Dublin City University Ireland

ISBN: (纸本)9781941643266

Most of the widely-used automatic evaluation metrics consider only the local fragments of the references and translations, and they ignore the evaluation on the syntax level. Current syntaxbased evaluation metrics try to introduce syntax information but suffer from the poor parsing results of the noisy machine translations. To alleviate this problem, we propose a novel dependency-based evaluation metric which only employs the dependency information of the references. We use two kinds of reference dependency structures: headword chain to capture the long distance dependency information, and fixed and floating structures to capture the local continuous ngram. Experiment results show that our metric achieves higher correlations with human judgments than BLEU, TER and HWCM on WMT 2012 and WMT 2013. By introducing extra linguistic resources and tuning parameters, the new metric gets the state-of-the-art performance which is better than METEOR and SEMPOS on system level, and is comparable with METEOR on sentence level on WMT 2012 and WMT 2013.

关键词： Syntactics

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Protein model quality assessment by learning-to-rank

Protein model quality assessment by learning-to-rank

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Xiaoyang Jing Qiwen Dong Xuan Liu Bin Liu School of Computer Science Fudan University Shanghai People's Republic of China Shanghai Key Laboratory of Intelligent Information Processing Shanghai People's Republic of China College of Engineering Shanghai Ocean University Shanghai People's Republic of China School of Computer Science and Technology Shenzhen Graduate School Shenzhen Guangdong People's Republic of China

ISBN: (纸本)9781467368001

Protein structures are essential to understand the function. The predicted models have a broad range of the accuracy. Reliable estimates of the model quality are critical in determining the usefulness of the model to address a specific problem. In this study, a novel method has been presented to rank the models by their relative qualities. The proposed method first extracts various features from the three dimensional structures of proteins and then the learning-to-rank algorithm is used to rank the models based on their similarities with the native structures. Furthermore, a quasi single-model method is presented, which uses the top five identified models as references and ranks the other models by the average similarity with the reference models. Benchmark test is performed on a newly developed, template-based decoy generators which covers all the main structure classes of proteins. The proposed learning-to-rank method achieves an average Pearson correlation coefficient of 0.94 and a AUC value of 0.97, which consistently outperform all other well-developed methods. The quasi single-model can further improves the performance and achieve nearly perfect results with both PCC and AUC value of 0.99. The results demonstrate that the proposed method is an effective methodology for model quality assessment and provides the state-of-the-art performance.

关键词： Proteins Biological system modeling Analytical models Benchmark testing Genomics Bioinformatics

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Partition Region-based Fuzzy Contour Model for Auroral Oval Segmentation

Partition Region-based Fuzzy Contour Model for Auroral Oval ...

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2014中国极地科学学术年会

作者： Jiao Shi Jiaji Wu Xidian University Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Institute of Intelligent Information Processing Xi''an Shaanxi 710071China

The aurora is a natural light phenomenon in the sky, particularly in high-latitude *** is caused by the collision of energetic charged particles from the earth's magnetosphere and solar *** aurora is not only an optical *** also emits radio waves and has a strong influence on radio communications, on the weather, and on complex biological *** study of auroral activity attracts great interest form geophysicists due to its utility in analyzing high-latitude ionosphere-thermosphere-magnetosphere behaviors.A major source of images available for studying auroral activity consists of data collected by the Polar Ultraviolet Imager (UVI).

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A two-stage blind image color correction using color cast estimation 6

A two-stage blind image color correction using color cast es...

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6th Chinese Conference on Pattern Recognition, CCPR 2014

作者： Zhu, Dawei Li, Chen Tian, Jing Huang, Xiaotong School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan430081 China

ISBN: (纸本)9783662456422

The color cast images usually have serious loss of the color information and are inconvenient for visual observation and image analysis. To tackle this problem, a novel two-stage image color cast correction scheme is proposed in this paper. Firstly, the proposed approach performs the color cast and stable channel detection by using extreme intensity ratio of the original image. Second, the distorted image color is restored by solving the constrained problem with the degree of color variation and the above-detected color cast and stable channel. The experimental results using surveillance videos demonstrate that the proposed scheme is not only feasible but also effectively. In addition, the results satisfy human subjective perception as well. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Color

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Online Chinese-Vietnamese bilingual topic detection based on RCRP algorithm with event elements 3

Online Chinese-Vietnamese bilingual topic detection based on...

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3rd CCF Conference on Natural Language processing and Chinese Computing, NLPCC 2014

作者： Long, Wen-Xu Gao, Ji-xun Yu, Zheng-tao Gao, Sheng-xiang Hong, Xu-dong School of Information Engineering and Automation Kunming University of Science and Technology Kunming650051 China The Intelligent Information Processing Key Laboratory Kunming University of Science and Technology Kunming650051 China School of Computer Science Henan Institute of Engineering Zhengzhou451191 China

ISBN: (纸本)9783662459232

On account of the characteristics of online Chinese-Vietnamese topic detection, we propose a Chinese-Vietnamese bilingual topic model based on the Recurrent Chinese Restaurant Process and integrated with event elements. First, the event elements, including the characters, the place and the time, will be extracted from the new dynamic bilingual news texts. Then the word pairs are tagged and aligned from the bilingual news and comments. Both the event elements and the aligned words are integrated into RCRP algorithm to construct the proposed bilingual topic detection model. Finally, we use the model to determine if the new documents will be grouped into a new category or classified into the existing categories, as a result, to detect a topic. Through the contrast experiment, the proposed model achieves a good effect on topic detection. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Computers

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