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In this paper, we tackle the problem of inferring users' emotions in real-world Voice Dialogue Applications (VDAs, Siri1, Cortana2, etc.). We first conduct an investigation, indicating that besides the text information of users' queries, the acoustic information and query attributes are very important in inferring emotions in VDAs. To integrate the information above, we propose a Hybrid Emotion Inference...
Moving object recognition (MOR) is an important but challenging problem in the field of computer vision. The aim of MOR is to recognize moving objects in a given video dataset. Convolutional neural networks (CNNs) have been extensively used for image recognition and video analysis problems. Recently, a 3D-CNN, which contains 3D convolution layers, was proposed to address MOR problems by successfully...
The problem of time series classification has drawn intensive attention from the data mining community. Conventional time series model may be unsuitable for multivariate motion time series because of the large volume of the data, highly correlated dimensions and rapid growth nature. In this paper, we propose C3M, an effective classification model for motion time series classification, which consists...
Bearing outside-diameter detection is a very important part of bearing detection. In this paper, bearing outside-diameter is detected by a method named Hough transform. For the curve known analytic function, Hough transform is effectual. However, the detection method based on traditional Hough transform has some disadvantages such as large amount of data, needing a very huge memory, slow speed and...
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