We analyzed the relationship between packet validity and encounter probability as well as the relationship between packet validity and remaining lifetime. Then we proposed the congestion control strategy based on prob...
详细信息
To facilitate the intuitional analysis of the protein sequences, we introduce a novel 2D graphical representation method CM-curve based on the characteristic model of protein sequence, which may reflect the innate str...
详细信息
This research aims to recognize the defect of concrete materials using an ultrasonic computed tomography imaging technique. Filtered Backprojection method was used to reconstruct concrete images in this paper. Ultraso...
详细信息
This research aims to recognize the defect of concrete materials using an ultrasonic computed tomography imaging technique. Filtered Backprojection method was used to reconstruct concrete images in this paper. Ultrasonic time of flight data was measured to reconstruct computer tomography images. 306 data paths were obtained in total by manual scanning for one computer tomography image. We examined the effect of the interpolation data as the density of time of flight data has a considerable effect on image quality. The feasibility of concrete reconstruction system and time of flight data interpolation were examined in detail using numerical and concrete phantoms.
Over the last few decades,feature selection has been a hot research area in pattern recognition and machine learning,and many famous feature selection algorithms have been *** them,feature selection using positive app...
详细信息
ISBN:
(纸本)9781479951499
Over the last few decades,feature selection has been a hot research area in pattern recognition and machine learning,and many famous feature selection algorithms have been *** them,feature selection using positive approximation(FSPA)is an accelerator for traditional rough set based feature selection algorithms,which can significantly reduce the running ***,FSPA still cannot handle large scale and high dimension dataset due to the memory *** this paper,we propose a parallel implementation of FSPA using MapReduce framework,which is a programming model for processing large scale *** experimental results demonstrate that the proposed algorithm can process large scale and high dimension dataset efficiently on commodity computers.
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 p...
详细信息
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.
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: fi...
详细信息
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 ...
详细信息
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...
详细信息
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.
In this paper, we propose an adaptive haze removal method based on dark channel prior. The dark channel value is compensated for estimating the transmission;the atmospheric light will be re-estimated through the analy...
详细信息
Artificial plant optimization algorithm is a novel stochastic population-based evolutionary algorithm by simulating the plant growing process. In this paper, a new variant, which is called APOA-DC is proposed by incor...
详细信息
Artificial plant optimization algorithm is a novel stochastic population-based evolutionary algorithm by simulating the plant growing process. In this paper, a new variant, which is called APOA-DC is proposed by incorporating with dynamic population size and cluster methods, furthermore, to investigate the performance, APOA-DC is applied to optimize the DV-Hop localization algorithm, simulation results show it achieves better performance than the DV-Hop algorithm.
暂无评论