论文标题
部分可观测时空混沌系统的无模型预测
Compressive Self-localization Using Relative Attribute Embedding
论文作者
论文摘要
使用相对属性（例如，美丽，安全，方便）在Visual Place识别中嵌入的图像嵌入作为一种与绝对属性的典型方法（例如，颜色，颜色，形状，形状，形状，纹理）的典型方法正交的域自适应紧凑型图像描述符，基于本文的图像嵌入了图像。
The use of relative attribute (e.g., beautiful, safe, convenient) -based image embeddings in visual place recognition, as a domain-adaptive compact image descriptor that is orthogonal to the typical approach of absolute attribute (e.g., color, shape, texture) -based image embeddings, is explored in this paper.
