图 书 馆
高维视觉信息集的几何感知分析Geometry-Aware Analysis of High-Dimensional Visual Information Sets |
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| 课程网址: | http://videolectures.net/acmmm2010_kokiopoulou_gaa/ |
| 主讲教师: | Effrosyni Kokiopoulou |
| 开课单位: | 苏黎世联邦理工学院 |
| 开课时间: | 2011-02-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Over the past few decades we have been experiencing a data explosion; massive amounts of data are increasingly collected and multimedia databases, such as YouTube and Flickr, are rapidly expanding. At the same time rapid technological advancements in mobile devices and vision sensors have led to the emergence of novel multimedia mining architectures. These produce even more multimedia data, which are possibly captured under geometric transformations and need to be efficiently stored and analyzed. It is also common in such systems that data are collected distributively. This very fact poses great challenges in the design of effective methods for analysis and knowledge discovery from multimedia data. In this thesis, we study various instances of the problem of classification of visual data under the view-point of modern challenges. Roughly speaking, classification corresponds to the problem of categorizing an observed object to a particular class (or category), based on previously seen examples. We address important issues related to classification, namely flexible data representation for joint coding and classification, robust classification in the case of large geometric transformations and classification with multiple object observations in both centralized and distributed settings. |
| 关 键 词: | 高维视觉; 几何感知 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-06：王勇彬(课程编辑志愿者) |
| 阅读次数: | 103 |