author: tieniu tan

Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II

... c ;...;XcC], where Xc c is the coding coefficient of Ac over the sub-dictionary Dc. First of all, the dictionary D should be able to well represent Ac, and there is Ac ≈ DXc = D1Xc 1 + ··· + DcXcc + ···+ DCXcC. Second, since Dc is ...

Affective Computing and Intelligent Interaction: First International Conference, ACII 2005, Beijing, China, October 22-24, 2005, Proceedings

... sampa. All automatic segmentations and annotations were manually checked ... video tracks enabling development and evaluation of the algorithms. 4. System ... Video Based Feedback For the visual feedback, a video based feature extraction ...

Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part II

... manual annotations by the radiologist. The summary of this data is shown in Table 2 and Fig. 3. Table 2. Summary of data Source Objects Volume size Resolution (mm) Framerate(Hz) Scanner EMC 6 192 Â 246 Â 117 1.14 Â 0.59 Â 1.19 6 Philips ...

Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4–7, 2022, Proceedings, Part II

... SANet [22] MSNNet [25] BiDFNet (ours) Unet [16] Unet++ [26] MSEG [7] 0.913 0.954 0.019 0.891 0.931 0.022 0.961 0.969 0.007 0.009 0.959 0.979 0.947 0.959 0.011 PraNet [4] ACSNet [23] EU-Net [15] SANet [22] MSNNet [25] BiDFNet (ours) Unet ...

Affective Computing and Intelligent Interaction: First International Conference, ACII 2005, Beijing, China, October 22-24, 2005, Proceedings

... emotions based on mental states of a rational agent . 3.1 Computational Models of Elicited - Emotion Generation In architecture Tok , the module Em provides the emotions triggered by a perceived event and their intensity according to a ...

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II

... Tongyici Cilin (Extended) [3] is taken as the semantic resources in this paper. In this paper, we use the fifth level synonym information of the dictionary, where the meanings of words are depicted most meticulously, to expand the ...

Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part I

... 2, Jun Guo1, and Yaning Chang1 3 1 Beijing University of Posts and Telecommunications, Beijing 100876, 2 People's Republic of China {wanghaoyumartin,changdongliang,xiaobo,mazhanyu, guojun,cyaning}@bupt.edu.cn Beijing Academy of Artificial ...

Advances in Multimodal Interfaces - ICMI 2000: Third International Conference Beijing, China, October 14-16, 2000 Proceedings

... mouse + speech was 13%,, keyboard + speech 11% and speech + pen 18%. The ... best of the six interaction modes. 3.3 Discussion Regarding individual modes ... CAD systems however, map systems do not need a mouse because these kinds of ...

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III

... variational auto-encoder with a conditional generative adversarial network ... training. Experimental results demonstrate that our approach not only produces ... Tutorial on variational autoencoders. arXiv preprint arXiv:1606.05908 (2016) ...

Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part II

... Tutorial on variational autoencoders . arXiv : 1606.05908 ( 2016 ) 5. Girshick , R .: Fast R - CNN . In : ICCV ( 2015 ) 6. Gong , D. , et al .: Memorizing normality to detect anomaly : memory - augmented deep autoencoder for ...

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