Titlebook: Advances in Neural Networks - ISNN 2006; Third International Jun Wang,Zhang Yi,Hujun Yin Conference proceedings 2006 Springer-Verlag Berli

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書目名稱Advances in Neural Networks - ISNN 2006影響因子(影響力)




書目名稱Advances in Neural Networks - ISNN 2006影響因子(影響力)學(xué)科排名




書目名稱Advances in Neural Networks - ISNN 2006網(wǎng)絡(luò)公開度




書目名稱Advances in Neural Networks - ISNN 2006網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Neural Networks - ISNN 2006被引頻次




書目名稱Advances in Neural Networks - ISNN 2006被引頻次學(xué)科排名




書目名稱Advances in Neural Networks - ISNN 2006年度引用




書目名稱Advances in Neural Networks - ISNN 2006年度引用學(xué)科排名




書目名稱Advances in Neural Networks - ISNN 2006讀者反饋




書目名稱Advances in Neural Networks - ISNN 2006讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-1-4614-5803-6ecognition are extracted from the segmented iris pattern using two-dimensional (2-D) wavelet transform based on Haar wavelet. We present an efficient initialization method of the weight vectors and a new method to determine the winner in LVQ neural network. The proposed methods have more accuracy than the conventional techniques.

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Zhao Zhang,Baoju Zhang,Hongwei Liu,Bo Zhangtes the capacities of biological brains for signal processing in pattern recognition. Its accuracy and efficiency are demonstrated in this report on an application to human face recognition, with comparisons of performance with conventional pattern recognition algorithms.

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Oratory

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149143.jpg

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Lecture Notes in Electrical Engineering. First, a RGB image inputted from a frame grabber is converted into a HSV image. Then, the coarse facial region is extracted using the hue(H) and saturation(S) components except intensity(V) component which is sensitive to the environmental illumination. Next, the fine facial region extraction proc