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In the area of national language processing, performing machine learning technique on customer or movie review for sentiment analysis has been? frequently tried. While methods such as? support vector machine (SVM) were much favored in the 2000s, recently there is a steadily rising percentage of implementation with vector representation and artificial neural network. In this article we present an approach...
Cross-scene crowd counting is a challenging task where no laborious data annotation is required for counting people in new target surveillance crowd scenes unseen in the training set. The performance of most existing crowd counting methods drops significantly when they are applied to an unseen scene. To address this problem, we propose a Full Convolutional Neutral Network(FCN) for person detection,...
This paper mainly introduces a new method for image classification. The traditional Bag of Visual Words model (BoVW) is a promising image representation technique for image classification. But its limitation is that much valuable information is lost when building the codebook of BoVW simply by clustering visual features in the Euclidian space. In this paper, we take full advantage of image semantic...
Voice search technology has been successfully applied to help drivers reply SMS messages in automobiles, in which a predefined SMS message template set is searched with ASR hypotheses to form the reply candidate list. In order to efficiently organize the SMS message template set and improve the quality of the reply candidate list, we proposed to apply n-gram translation model and logistic regression...
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