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automatic mining of change set size information from repository for precise productivity estimation 会议论文
2011 International Conference on Software and Systems Process, ICSSP 2011, Co-located with ICSE 2011, Waikiki, Honolulu, HI, United states, 21-May-20
Huang Hui; Yang Qiusong; Xiao Junchao; Zhai Jian
收藏  |  浏览/下载:24/0  |  提交时间:2011/10/10
A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文
2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China
Zhao X.; Fu D.; Zhai L.
收藏  |  浏览/下载:57/0  |  提交时间:2013/03/25
Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures  typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First  decompose and reconstruct the image by wavelet packet. Before constructing the image  use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second  probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects  to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented  showing the quality of the proposed method. 2008 IEEE.  
A case study of ecological restoration at the Xiaoyi Bauxite Mine, Shanxi Province, China 会议论文
International Conference on Ecological Engineering (ICEE 96), BEIJING, PEOPLES R CHINA, OCT 07-11, 1996
作者:  Gao, L;  Miao, ZW;  Bai, ZK;  Zhou, XY;  Zhao, JK
收藏  |  浏览/下载:14/0  |  提交时间:2016/01/19


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