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» Detecting Anomalies in Graphs
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ICCV
2011
IEEE
14 years 1 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
CVPR
2009
IEEE
15 years 7 months ago
Random walks on graphs to model saliency in images
We formulate the problem of salient region detection in images as Markov random walks performed on images represented as graphs. While the global properties of the image are extra...
Viswanath Gopalakrishnan, Yiqun Hu, Deepu Rajan
ISMAR
2007
IEEE
15 years 7 months ago
Real-Time Object Tracking for Augmented Reality Combining Graph Cuts and Optical Flow
We present an efficient and accurate object tracking algorithm based on the concept of graph cut segmentation. The ability to track visible objects in real-time provides an inval...
Jonathan Mooser, Suya You, Ulrich Neumann
ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
15 years 7 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
3DIM
2003
IEEE
15 years 6 months ago
A Discrete Reeb Graph Approach for the Segmentation of Human Body Scans
Segmentation of 3D human body (HB) scan is a very challenging problem in applications exploiting human scan data. To tackle this problem, this paper proposes a topological approac...
Yijun Xiao, Paul Siebert, Naoufel Werghi