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ICCV
2007
IEEE
15 years 11 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
VVS
1998
IEEE
133views Visualization» more  VVS 1998»
15 years 1 months ago
An Accurate Method for Voxelizing Polygon Meshes
The process of generating discrete surfaces in a volumetric representation, termed voxelization, is confronted with topological considerations as well as accuracy and efficiency r...
Jian Huang, Roni Yagel, Vassily Filippov, Yair Kur...
BC
2008
73views more  BC 2008»
14 years 9 months ago
Interaction of ON and OFF pathways for visual contrast measurement
We propose a novel model of visual contrast measurement based on segregated ON and OFF pathways. Two driving forces have shaped our investigation: (1) establishing a mechanism sele...
Heiko Neumann, Luiz Pessoa, Thorsten Hansen
APVIS
2006
14 years 11 months ago
Visual analysis of network centralities
Centrality analysis determines the importance of vertices in a network based on their connectivity within the network structure. It is a widely used technique to analyse network-s...
Tim Dwyer, Seok-Hee Hong, Dirk Koschützki, Fa...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
15 years 9 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...