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very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document -very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classificatio
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ADA and NN based Mammogram Mass Classification using various geometric shape features
Surendiran.B, A.Vadivel
National Conference on Advanced Pattern Mining and Multimedia Computing, APMMC10, Department of Computer Applications, National Insti
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基于模式空间的均匀圆阵方位估计性能研究，在建立了均匀圆阵数学模型的基础上，将模式空间与经典高分辨方位估计算法———多重信号分类法（MUSIC）
应用到均匀圆阵方位估计（DOA）中-Based on the pattern space DOA estimation with uniform circular arrays properties, in the establishment of a uniform circular array based on the mathematical
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此文档包含对卷积神经网络的描述及在图像处理中的应用，对学习卷积神经网络有重要帮助。-The work presented here
uses image classifi cation performance (accurate discrimination between common
classes of objects) as a basis for comparing visual system models, and algorithms
for fi
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基于彩色局部二值模式的纹理分类研究，采用LCVBP原理，创新实用-Color texture classification based on local binary pattern studies, using LCVBP prinicple, innovation and practical
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模式识别课件，用于对故障的学习，以及学习相关的优化分类方法-Pattern Recognition courseware for learning the fault, and related optimization classification learning
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一篇人工智能领域的论文，作者利用weka环境选择合适的分类器对星际争霸2的录像数据进行玩家行为建模，旨在提高AI对玩家水平的判断。文章难度不高，对于初学人工智能和模式识别的很有启发性。-An artificial intelligence paper, the authors use weka environment select the appropriate classification for StarCraft 2‘s video player behavior data modelin
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pattern classificatio
research area
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核稀疏用于字典学习和稀疏表示，可用于纹理分类等模式识别问题。-Nuclear sparse dictionary for learning and sparse representation can be used for texture classification pattern recognition problem.
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