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» Capturing Topology in Graph Pattern Matching
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SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 1 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
90
Voted
CVPR
2000
IEEE
15 years 4 months ago
Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Pengyu Hong, Thomas S. Huang, Roy Wang
107
Voted
GBRPR
2009
Springer
15 years 7 months ago
Matching Hierarchies of Deformable Shapes
This paper presents an approach to matching parts of deformable shapes. Multiscale salient parts of the two shapes are first identified. Then, these parts are matched if their im...
Nadia Payet, Sinisa Todorovic
JCP
2008
162views more  JCP 2008»
15 years 10 days ago
Shape Recognition by Clustering and Matching of Skeletons
We perform the task of shape recognition using a skeleton based method. Skeleton of the shape is considered as a free tree and is represented by a connectivity graph. Geometric fea...
Hamidreza Zaboli, Mohammad Rahmati, Abdolreza Mirz...
CVPR
2007
IEEE
16 years 2 months ago
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
Pengdong Xiao, Nick Barnes, Tibério S. Caet...