图 书 馆
用于目标检测的范围自适应数据模式Autonomously Adapting Range Data Patterns for Object Detection |
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| 课程网址: | http://videolectures.net/machine_varvadoukas_object_detection/ |
| 主讲教师: | Theodoros Varvadoukas |
| 开课单位: | 纽约大学 |
| 开课时间: | 2013-08-06 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a novel approach to recognizing patterns in laser range data that performs on a par with the state of the art while at the same requiring minimal parameters and supervision. Most importantly, supervision is only needed at the level of real-world objects that a robot can interact with (humans, in our experiments). This is an important step towards autonomous cognitive systems, since the system can interact with such objects and autonomously collect all the supervision it needs in order to adapt its models. |
| 关 键 词: | 激光测距; 参数和监督; 自主认知系统 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-03-27：chenxin |
| 阅读次数: | 61 |