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CORC

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Multi-mode Emotion Recognition Based on Generalized Discriminative Canonical Correlation Analysis 会议论文
2018 INTERNATIONAL CONFERENCE ON SENSORS, SIGNAL AND IMAGE PROCESSING (SSIP 2018), 2018-01-01
作者:  Chen, Lijiang;  Dou, Wentao;  Mao, Xia
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
Fast Gabor texture feature extraction with separable filters using GPU 期刊论文
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2016
作者:  Pang, Wai-Man;  Choi, Kup-Sze;  Qin, Jing
收藏  |  浏览/下载：28/0  |  提交时间：2017/01/13
Saliency computation via whitened frequency band selection 期刊论文
COGNITIVE NEURODYNAMICS, 2016, 卷号: 10, 期号: 3
作者:  Lv, Qi;  Wang, Bin;  Zhang, Liming
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/06
三维枪弹痕迹自动识别系统关键技术研究 学位论文
博士: 中国科学院大学, 2014
凌剑勇
收藏  |  浏览/下载：151/0  |  提交时间：2014/08/21
Retinal vessels segmentation based on level set and region growing 期刊论文
Pattern Recognition, 2014, 卷号: 47, 期号: 7, 页码: 2437-2446
作者:  Qian Zhao, Yu;  Hong Wang, Xiao;  Fang Wang, Xiao;  Shih, Frank Y.
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/03
Fast Gabor texture feature extraction with separable filters using GPU 期刊论文
Journal of Real-Time Image Processing, 2013
作者:  Wai-Man Pang;  Kup-Sze Choi;  Jing Qin
收藏  |  浏览/下载：17/0  |  提交时间：2015/08/27
基于一维相关滤波器的类依赖特征分析人脸识别 会议论文
第十四届全国图象图形学学术会议, CNKI
严严; 章毓晋; YAN Yan; ZHANG Yu-Jin
收藏  |  浏览/下载：2/0
PSO based gabor wavelet feature extraction method (EI CONFERENCE) 会议论文
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
Sun H.; Pan Y.; Zhang Y.
收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25
In this paper  the time of feature extraction is faster. By test in low contrast image  2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation  the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.  orientation  and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space  we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm  it can ensure reliable convergence the target  which can improve convergent speed  
听觉视觉双模态汉语语音识别关键技术的研究 学位论文
博士, 中国科学院声学研究所: 中国科学院声学研究所, 1998
徐彦君
收藏  |  浏览/下载：26/0  |  提交时间：2011/05/07

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