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The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoring and maintaining a PV plant has become of great importance and invo...
The 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017) will be held in Washington, DC on May 30 –June 3, 2017. The IEEE conference series on Automatic Face and Gest...
Spatial data play a major role in many areas. They are an important source of information for a wide range of applications. The quality and quantity of data have increased in the last decades, resul...
Information distributed through the Web keeps growing faster day by day, and for this reason, several techniques for extracting Web data have been suggested during last years. Often, extraction tasks ...
In this paper, we propose a multi-level, contextdependent acoustic modeling framework for automatic speech recognition. For each context-dependent unit considered by the recognizer, we construct a set...
In this paper, we propose a two-stage transcription task design for crowdsourcing with an automatic quality control mechanism embedded in each stage. For the first stage, a support vector machine (SVM...
In this paper we propose a back-off discriminative acoustic model for Automatic Speech Recognition (ASR). We use a set of broad phonetic classes to divide the classification problem originating from c...
As the number of manually acquired rules in a patent translation system increases, conflicts between rules inevitably exist. Meanwhile, lacking the matched cases of manually acquired rules in real bil...
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges a...
In this paper we tackle the problem of generating natural route descriptions on the basis of input obtained from a commercially available way-finding system. Our framework and architecture incorporate...

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