已选(0)清除
条数/页: 排序方式: |
| A fast Binary Biologically Inspired Model for Object Recognition 会议论文 , Seoul, South Korea, 2015.4.22-4.25 作者: Kang Taekoo ; Zhang Huazhen; Lu Yanfeng ; Pae Dongsung; Lim Myotaeg
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:171/0  |  提交时间:2017/09/14 Hmax Biologically Inspired Model Binary Descriptor Object Recognition |
| Enhanced Hierarchical Model of Object Recognition Based on Saliency Map and Keypoint 会议论文 , Seoul, South Korea, 2015.4.22-4.25 作者: Lu Yanfeng(吕彦锋) ; Kang Taekoo; Zhang Huazhen; Pae Dongsung; Lim Myotaeg
浏览  |   Adobe PDF(324Kb)  |   收藏  |  浏览/下载:314/101  |  提交时间:2017/09/14 Object Recognition Classification Hmax Saliency Map Keypoint |
| B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition 期刊论文 Neurocomputing, 2016, 期号: 218, 页码: 242-250 作者: Zhang Huazhen; Lu Yanfeng ; Kang Taekoo; Lim Myotaeg
Adobe PDF(2633Kb)  |   收藏  |  浏览/下载:339/115  |  提交时间:2017/09/14 Object Recognition Classification Hmax Binary Descriptor |
| Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment 期刊论文 Neurocomputing, 2014, 期号: 193, 页码: 155-166 作者: Lu Yanfeng(吕彦锋) ; Kang Taekoo; Zhang Huazhen; Choi Inhwan; Lim Myotaeg
浏览  |   Adobe PDF(5178Kb)  |   收藏  |  浏览/下载:334/126  |  提交时间:2017/09/14 Object Recognition Classification Hmax Oriented Gaussian-hermite Moment Gabor Features |
| Dominant Orientation Patch Matching for HMAX 期刊论文 Neurocomputing, 2016, 期号: 193, 页码: 155-166 作者: Lu Yanfeng(吕彦锋) ; Zhang Huazhen; Kang Taekoo; Lim Myotaeg
浏览  |   Adobe PDF(9039Kb)  |   收藏  |  浏览/下载:362/102  |  提交时间:2017/09/14 Object Recognition Classification Hmax Dominant Orientation Patch Matching |
| Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions 期刊论文 IET Computer Vision, 2015, 卷号: 5, 期号: 9, 页码: 663-672 作者: Lu Yanfeng(吕彦锋) ; Kang Taekoo; Zhang Huazhen; Lim Myotaeg
浏览  |   Adobe PDF(1858Kb)  |   收藏  |  浏览/下载:266/112  |  提交时间:2017/09/14 Hierarchical Model Object Recognition Keypoint-based Patch Selection Hmax |
| 基于生物认知机制的视觉识别模型与算法研究 学位论文 , 北京: 中国科学院研究生院, 2017 作者: 席铉洋![](/image/person.jpg)
Adobe PDF(21583Kb)  |   收藏  |  浏览/下载:367/6  |  提交时间:2017/06/16 生物认知机制 视觉识别 Hmax 模型 层级模型 机器人 |
| 生物启发式视觉识别模型与算法研究 学位论文 , 北京: 中国科学院研究生院, 2016 作者: 李寅霖![](/image/person.jpg)
Adobe PDF(10822Kb)  |   收藏  |  浏览/下载:416/7  |  提交时间:2016/06/23 生物启发 生物机制 Hmax 模型 多层结构 分类 检测 机器人 |
| Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文 FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14 作者: Li, Yinlin ; Wu, Wei ; Zhang, Bo; Li, Fengfu
浏览  |   Adobe PDF(3664Kb)  |   收藏  |  浏览/下载:397/89  |  提交时间:2016/03/30 Hmax Biologically Inspired Feedforward Saliency Map Middle Level Patch Learning Feature Encoding Multiclass Categorization |