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158
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EDBT
2006
ACM
266views Database» more  EDBT 2006»
16 years 3 months ago
From Analysis to Interactive Exploration: Building Visual Hierarchies from OLAP Cubes
We present a novel framework for comprehensive exploration of OLAP data by means of user-defined dynamic hierarchical visualizations. The multidimensional data model behind the OLA...
Svetlana Vinnik, Florian Mansmann
140
Voted
ICCV
2007
IEEE
16 years 5 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, ...
CVPR
2008
IEEE
15 years 10 months ago
Visual quasi-periodicity
Periodicity is at the core of the recognition of many actions. This paper takes the following steps to detect and measure periodicity. 1) We establish a conceptual framework of cl...
Erik Pogalin, Arnold W. M. Smeulders, Andrew H. C....
141
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PAMI
2010
248views more  PAMI 2010»
15 years 2 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock
138
Voted
VIZSEC
2004
Springer
15 years 9 months ago
Managing attack graph complexity through visual hierarchical aggregation
We describe a framework for managing network attack graph complexity through interactive visualization, which includes hierarchical aggregation of graph elements. Aggregation coll...
Steven Noel, Sushil Jajodia