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浏览/检索结果: 共7条，第1-7条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Extension of the partial derivatives of the incomplete beta function for complex values 期刊论文 APPLIED MATHEMATICS AND COMPUTATION, 2016, 卷号: 275, 页码: 63-71 作者:  Sun, Zhongfeng;  Qin, Huizeng;  Li, Aijuan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/16 Incomplete beta function  Neutrix limit  Closed form  Hypergeometric  function   Further results on generalized multiple fractional part integrals for complex values 期刊论文 JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2016, 卷号: 302, 页码: 186-199 作者:  Sun, Zhongfeng;  Li, Aijuan;  Qin, Huizeng 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/16 Multiple integrals  Fractional part  Riemann zeta function  Beta  function  Incomplete Beta function   A Self-Adaptive Method of Image Contrast Enhancement Based on Artificial Bee Colony Algorithm 会议论文 AASRI Conference on Artificial Intelligence and Industry Application (AASRI-AIIA 2011), MAY 23-24, 2011 作者:  Ma, Miao;  Ding, Shengrong;  Zhu, Yanfei 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/31 image enhancement  Incomplete Beta Function  Artificial Bee Colony  Algorithm   集装箱图像对比度增强的自适应算法 期刊论文 2010, 2010 郭肖静; 吴志芳; GUO Xiao-jing; WU Zhi-fang 收藏  |  浏览/下载：1/0 基于遗传算法的辐射图像对比度增强 期刊论文 2010, 2010 郭肖静; 吴志芳; GUO Xiao-jing; WU Zhi-fang 收藏  |  浏览/下载：2/0 An adaptive image contrast enhancement based on differential evolution (EI CONFERENCE) 会议论文 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China Yang Q. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 Tubbs proposed a regularized incomplete beta function to represent some nonlinear transform functions most commonly used in image contrast enhancement. But how to define the coefficients of the beta function adaptively is still a problem. Applying the differential evolution in image contrast enhancement  we utilize the global quickly search ability of the differential evolution algorithm  adaptive mutation  search  at last searches the optimal  values of beta function and gets an adaptive contrast enhanced image. To avoid trapping into local optimum  a chaotic differential evolution algorithm is proposed. Experimental results show that the proposed algorithm can find the global optimal  in few iterations and save largely computational time and complexity. 2010 IEEE.   Adaptive image enhancement based on artificial bee colony algorithm (CPCI-S收录) 会议 作者:  Chen, Jia[1,2];  Li, Chu-Yi[2];  Yu, Wei-Yu[2] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/11 Incomplete Beta Function  Image Enhancement  Artificial Bee Colony Algorithm