CASIA OpenIR  > 类脑智能研究中心
Improving context-sensitive similarity via smooth neighborhood for object retrieval
Song Bai; Shaoyan Sun; Xiang Bai; Zhaoxiang Zhang; Qi Tian
2018
发表期刊Pattern Recognition
期号83页码:353-364
摘要Due to the ability of capturing the geometry structure of data manifold, context-sensitive similarity has demonstrated impressive performances in the retrieval task. The key idea of context-sensitive similarity is that the similarity between two data points can be more reliably estimated with the local context of other points in the affinity graph. Therefore, neighborhood selection is a crucial factor for those algorithms, which affects the performance dramatically. In this paper, we propose a new algorithm called Smooth Neighborhood (SN) that mines the neighborhood structure to satisfy the manifold assumption. By doing so, nearby points on the underlying manifold are guaranteed to yield similar neighbors as much as possible. Moreover, SN is adjusted to tackle multiple affinity graphs by imposing a weight learning paradigm, and this is the primary difference compared with related works which are only applicable with one affinity graph. Finally, we integrate SN with Sparse Contextual Activation (SCA), a representative context-sensitive similarity proposed recently. Extensive experimental results and comparisons manifest that with the neighborhood structure generated by SN, the proposed framework can yield state-of-the-art performances on shape retrieval, image retrieval and 3D model retrieval.
关键词Object Retrieval Context-sensitive Similarity 3d Shape Re-ranking Rank Aggregation
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21588
专题类脑智能研究中心
推荐引用方式
GB/T 7714
Song Bai,Shaoyan Sun,Xiang Bai,et al. Improving context-sensitive similarity via smooth neighborhood for object retrieval[J]. Pattern Recognition,2018(83):353-364.
APA Song Bai,Shaoyan Sun,Xiang Bai,Zhaoxiang Zhang,&Qi Tian.(2018).Improving context-sensitive similarity via smooth neighborhood for object retrieval.Pattern Recognition(83),353-364.
MLA Song Bai,et al."Improving context-sensitive similarity via smooth neighborhood for object retrieval".Pattern Recognition .83(2018):353-364.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Song Bai]的文章
[Shaoyan Sun]的文章
[Xiang Bai]的文章
百度学术
百度学术中相似的文章
[Song Bai]的文章
[Shaoyan Sun]的文章
[Xiang Bai]的文章
必应学术
必应学术中相似的文章
[Song Bai]的文章
[Shaoyan Sun]的文章
[Xiang Bai]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。