caixun
Professor
蔡珣，博士，教授 主要从事计算机领域以及和材料计算交叉学科领域的研究，研究方向主要包括：机器学习、人工神经网络及深度学习、材料计算、图像处理及识别和工业软件仿真等。 在《计算机学报》、《电子学报》、 《计算机研究与发展》、《Neural Processing Letters》、《IEEE TMM》等国际国内A级及ACM MM、ICASSP、IJCNN、IEEE WCCI等计算机人工智能领域CCF认可的及国际重要会议上发表SCI 和EI收录近50篇，授权第一发明专利15项，登记软著11项，参与国家自然科学基金面上项目“We... More+
Paper Publications
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[21] caixun. A new neural network algorithm based on conjugate gradient and output weight optimization. 2011 7th International Conference on Natural Computation, ICNC 2011, 38, 2011.
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[22] caixun. An optimal construction and training of second order RBF network for approximation and illuminati.... Proceeding of 2011 International Joint Conference on Neural Networks(IJCNN 2011), 3120, 2011.
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[23] caixun. 一种基于物理反射模型颜色不变性的阈值分割算法. 《中国计算机学报》, 32, 282, 2009.
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[24] caixun. Background color constancy algorithm based on neural network. 2nd International Workshop on Computer Science and Engineering, WCSE 2009, 2, 272, 2009.
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[25] caixun. A new region Gaussian background model for video surveillance. 4th International Conference on Natural Compu, 6, 123, 2008.
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[26] caixun. A new image segmentation for virtual background reconstruction. Chinese Journal of Electronics(电子学报英文版), 17, 223, 2008.
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[27] caixun. 一个新的基于区域的高速公路多车辆跟踪方案. 《光电工程》, 33, 20, 2006.
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[28] caixun. Video-based Virtual-Reality Game System. 《Journal of Computational Information Systems》, 2, 745, 2006.