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» Attributed Graph Matching Using Local Descriptions
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ICPR
2008
IEEE
15 years 6 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ACCV
2007
Springer
15 years 6 months ago
Human Pose Estimation from Volume Data and Topological Graph Database
This paper proposes a novel volume-based motion capture method using a bottom-up analysis of volume data and an example topology database of the human body. By using a two-step gra...
Hidenori Tanaka, Atsushi Nakazawa, Haruo Takemura
ICCV
2009
IEEE
14 years 9 months ago
Local Trinary Patterns for human action recognition
We present a novel action recognition method which is based on combining the effective description properties of Local Binary Patterns with the appearance invariance and adaptabil...
Lahav Yeffet, Lior Wolf
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 2 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
ICCV
2003
IEEE
16 years 1 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...