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西安交通大学 [14]

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期刊论文 [9]

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	Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 页码: 2354-2367 作者: Cao, Xiangyong; Zhou, Feng; Xu, Lin; Meng, Deyu; Xu, Zongben 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/26 Hyperspectral image classification Markov random fields convolutional neural networks
	Robust tensor factorization with MRF under complex noise 会议论文作者: Chen, Xi'Ai; Han, Zhi; Shen, Guiping; Wang, Yao; Tang, Yandong 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/26 High order tensors High-dimensional Low-dimensional subspace Markov Random Fields Matrix factorizations Mixture of Gaussians Spatial structure information Tensor factorization
	Image segmentation based on evidential Markov random field model 期刊论文 Kongzhi yu Juece/Control and Decision, 2017, 卷号: 32, 页码: 1607-1613 作者: Zhang, Zhe; Han, De-Qiang; Yang, Yi 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26 Classical problems Evidence theories Image segmentation algorithm Iterated conditional modes Markov Random Field model Markov Random Fields Segmentation results
	Exploiting source-object networks to resolve object conflicts in Linked Data 会议论文作者: Liu, Wenqiang; Liu, Jun; Duan, Haimeng; Hu, Wei; Wei, Bifan 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/26 Data quality Heterogeneous information Joint distributions Object conflicts Pair-wise markov random fields Real-world datasets Real-world entities Truth discovery
	A moving object detection algorithm using multi-frame homography constraint and markov random fields model 期刊论文 Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2015, 卷号: 27, 期号: [db:dc_citation_issue], 页码: 621-632 作者: Cui, Zhigao; Li, Aihua; Feng, Guoyan 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 Homographies Markov random fields models Motion trajectories Moving-object detection Pixel level
	Image Segmentation Based on Evidential Markov Random Field Model 会议论文作者: Zhang, Zhe; Han, Deqiang; Yang, Yi 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/02 evidence theory evidential Markov random fields (EMRF) image segmentation ICM
	A region Markov random field model with integrated edge feature and image segmentation algorithm 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2014, 卷号: 48, 期号: [db:dc_citation_issue], 页码: 14-19 作者: Xu, Shengjun; Han, Jiuqiang; He, Bo; Zhao, Liang; Xiao, Haiyan 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/03 Belief propagation algorithm Edge features Gaussian Mixture Model Image segmentation algorithm Markov Random Field model Markov Random Fields Markov random fields models Natural image segmentations
	Image segmentation using adaptive loopy belief propagation 期刊论文 OPTIK, 2013, 卷号: 124, 期号: [db:dc_citation_issue], 页码: 5732-5738 作者: Xu, Sheng-Jun; Han, Jiu-Qiang; Yu, Jun-Qi; Zhao, Liang 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/03 Message self-convergence Markov random fields Label pruning Local interaction region MRF Adaptive loopy belief propagation
	Image segmentation based on local spatial adaptive Markov random field model 期刊论文 Kongzhi yu Juece/Control and Decision, 2013, 卷号: 28, 期号: [db:dc_citation_issue], 页码: 889-893 作者: Xu, Sheng-Jun; Han, Jiu-Qiang; Liu, Guang-Hui; Liu, Xin 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/03 Adaptive segmentation Loopy belief propagation Markov Random Field model Markov random field models Markov Random Fields Posterior probability Segmentation results Statistics features
	An image segmentation algorithm of adaptive prior MRF models 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2013, 卷号: 47, 期号: [db:dc_citation_issue], 页码: 62-67 作者: Liu, Guanghui; Ren, Qingchang; Meng, Yuebo; Xu, Shengjun 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/03 Adaptive prior Belief propagation algorithm Image local features Image segmentation algorithm Local statistic features Markov random field models Markov Random Fields Segmentation algorithms

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