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Speech recognition result is always evaluated by dynamic programming algorithm which can find the best match between recognized results and references. And the match unit could be word, syllable, phone and so on. However, in mandarin speech recognition, this traditional algorithm is not accurate because of the unique characteristics of Chinese word-formation. In order to improve evaluation performance...
Bad weather, such as fog and haze can significantly degrade the visibility of a scene. In order to overcome it, some approaches have been proposed. In this paper, we proposed a novel defogging algorithm just based on a single image. Firstly, we employ the method of dark channel prior as a foundation of our algorithm. After experimental analysis about the dark channel prior haze removal, we find that...
Considering of the features' distribution but not just the counts of features' appearances in sequence makes exponential language models more powerful to capture the global language phenomena. This paper constructs an exponential language model with binary variables' distributions of features, and uses minimum sample risk training method to train model by utilizing more features and adjusting their...
Identity-based designated verifier signatures allow a signer to designate a specific verifier by using a simplified public identity such as name or IP address. In such a way, only the designated verifier can check the validity of signatures. In this paper, we present an ID-based strong designated verifier signature (IBSDVS) scheme from bilinear pairings, and provide the security proofs and efficiency...
A new algorithm for unsupervised image segmentation is proposed in this paper, which is based on the D-MRF model and ANOVA. Firstly, ANOVA is incorporated to determine the number of clusters combining with several statistics. Compared with models based on information criteria, ANOVA avoids the parameter estimation error, which reduces time consumption. Secondly, histogram is adopted to verify the...
In this paper, a new joint rate-distortion optimization model based on texture and mean-error factors (TMJRDM) is proposed. Texture factor implies the subjective factor, giving the texture similarity measure between the original image and the target image. At the same time, mean-error factor gives the objective measure. The joint weighted value of texture and mean-error factors is calculated as the...
The network synchronization of a three-dimensional chaotic system with hyperchaotic characteristics is studied in this paper. The synchronization properties of the network is analyzed with nonlinear coupling, also the synchronization conditions of the fully connected network and star network are researched. For fully connected network, symmetric non-linear coupling method is adopted to achieve its...
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