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With the successful implementation of the Wide Area Augmentation System (WAAS) for the North America, there is interest in implementing similar systems in other parts of the world. The ionosphere over...
The Maximum Likelihood Estimator (MLE) is most often used to estimate the signal time delay in a multipath en vironment. There are various implementations of the MLE which can be divided into the time...
Recently, multi-view distributed video coding (MDVC) receives more and more attention, as its lowcomplexity encoder and high-complexity decoder coding paradigm suits for many applications such as sens...
Speaker segmentation is widely applied in many domains such as multi-speaker detection and speaker tracking. However, the performance of the conventional metric-based methods is neith...
Two main restrictions exist in state-of-the-art text detection algorithms: 1. Illumination variance; 2. Text-background contrast variance. This paper presents a robust text characterization approach ...
The coding efficiency of distributed video coding system is significantly determined by the side information quality and correlation model. Motivated by theoretical analysis of the maximum likelihood...
A new pixel-domain Distributed Video Coding (DVC) scheme is proposed in this paper, in which both the temporal and the spatial correlations are exploited only at the decoder. A video is treated as a c...
Abstract. In this paper we present a simple but effective method for matching two uncalibrated images. Feature points are firstly extracted in each image using a fast multiscale corner detector. Each ...
Correlation is widely used as an effective similarity measure in matching tasks. However, traditional correlation based matching methods are limited to the short baseline case. In this paper we propo...
The Gaussian mixture model-universal background model (GMM-UBM) has been dominant in text-independent speaker recognition tasks. However the conventional GMM-UBM method assumes that each Gaussian mixt...
Semantic-based image retrieval is the desired target of Content-based image retrieval (CBIR). In this paper, we proposed a new method to extract semantic information for CBIR using the relevance feedb...

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