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ICCV
2007
IEEE
16 years 5 months ago
Graph Based Discriminative Learning for Robust and Efficient Object Tracking
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
153
Voted
INFOVIS
1997
IEEE
15 years 7 months ago
H3: laying out large directed graphs in 3D hyperbolic space
We present the H3 layout technique for drawing large directed graphs as node-link diagrams in 3D hyperbolic space. We can lay out much larger structures than can be handled using ...
Tamara Munzner
144
Voted
AIPS
2000
15 years 4 months ago
New Advances in GraphHTN: Identifying Independent Subproblems in Large HTN Domains
We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
Amnon Lotem, Dana S. Nau
131
Voted
CGF
2010
169views more  CGF 2010»
15 years 3 months ago
Image-Based Edge Bundles: Simplified Visualization of Large Graphs
We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified ...
Alexandru Telea, Ozan Ersoy
283
Voted
ICCV
2011
IEEE
14 years 3 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic