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» Optimizing Feature Sets for Structured Data
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ICCV
2009
IEEE
16 years 2 months ago
Static Multi-Camera Factorization Using Rigid Motion
Camera networks have gained increased importance in recent years. Previous approaches mostly used point correspondences between different camera views to calibrate such systems....
Roland Angst, Marc Pollefeys
CVPR
2008
IEEE
15 years 12 months ago
Recognizing human actions using multiple features
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Jingen Liu, Saad Ali, Mubarak Shah
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Parameterized versus generative representations in structural design: an empirical comparison
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De ...
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
14 years 7 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
14 years 11 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen