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» Improving Shape Retrieval by Learning Graph Transduction
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CVIU
2011
14 years 1 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
83
Voted
MICCAI
2005
Springer
15 years 10 months ago
Multiscale 3D Shape Analysis Using Spherical Wavelets
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
Delphine Nain, Steven Haker, Aaron F. Bobick, Alle...
CIVR
2007
Springer
154views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Representing shape with a spatial pyramid kernel
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
96
Voted
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 3 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
79
Voted
CVPR
2005
IEEE
15 years 11 months ago
A Unified Optimization Based Learning Method for Image Retrieval
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying M...