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98
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ICPR
2008
IEEE
16 years 1 months ago
Training sequential on-line boosting classifier for visual tracking
On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-li...
Helmut Grabner, Horst Bischof, Jan Sochman, Jiri M...
ICML
1995
IEEE
16 years 1 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
102
Voted
WWW
2005
ACM
16 years 1 months ago
Using visual cues for extraction of tabular data from arbitrary HTML documents
We describe a method to extract tabular data from web pages. Rather than just analyzing the DOM tree, we also exploit visual cues in the rendered version of the document to extrac...
Bernhard Krüpl, Marcus Herzog, Wolfgang Gatte...
112
Voted
GBRPR
2009
Springer
15 years 7 months ago
Computing and Visualizing a Graph-Based Decomposition for Non-manifold Shapes
Modeling and understanding complex non-manifold shapes is a key issue in shape analysis and retrieval. The topological structure of a non-manifold shape can be analyzed through its...
Leila De Floriani, Daniele Panozzo, Annie Hui
CVPR
2008
IEEE
15 years 7 months ago
Fuzzy chamfer distance and its probabilistic formulation for visual tracking
The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance...
Yonggang Jin, Farzin Mokhtarian, Miroslaw Bober, J...