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» Manifold Clustering of Shapes
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ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 2 months ago
Clustering Multidimensional Trajectories based on Shape and Velocity
Recently, the analysis of moving objects has become one of the most important technologies to be used in various applications such as GIS, navigation systems, and locationbased in...
Yutaka Yanagisawa, Tetsuji Satoh
AVSS
2005
IEEE
14 years 2 months ago
Clustering of human actions using invariant body shape descriptor and dynamic time warping
We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly...
Massimiliano Pierobon, Marco Marcon, Augusto Sarti...
IJCV
2007
115views more  IJCV 2007»
13 years 8 months ago
Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering
This paper describes work aimed at the unsupervised learning of shape-classes from shock trees. We commence by considering how to compute the edit distance between weighted trees. ...
Andrea Torsello, Antonio Robles-Kelly, Edwin R. Ha...
IJON
2007
166views more  IJON 2007»
13 years 8 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
IEEECIT
2010
IEEE
13 years 7 months ago
Tessellating Cell Shapes for Geographical Clustering
This paper investigates the energy-saving organization of sensor nodes in large wireless sensor networks. Due to a random deployment used in many application scenarios, much more n...
Jakob Salzmann, Ralf Behnke, Dirk Timmermann