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» E-Business Process Modeling: The Next Big Step
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CVPR
1997
IEEE
13 years 11 months ago
Automated Model Acquisition from Range Images with View Planning
We present an incremental system that builds accurate CAD models of objects from multiple range images. Using a hybrid of surface mesh and volumetric representations, the system c...
Michael K. Reed, Peter K. Allen, Ioannis Stamos
SCESM
2006
ACM
262views Algorithms» more  SCESM 2006»
14 years 1 months ago
Scenario-driven modeling and validation of requirements models
Requirements models for large systems typically cannot be developed in a single step, but evolve in a sequence of iterations. We have developed such an iterative modeling process ...
Christian Seybold, Silvio Meier, Martin Glinz
ICIP
2006
IEEE
14 years 9 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
14 years 23 days ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
ICCV
1999
IEEE
14 years 9 months ago
Finding People by Sampling
We show how to use a sampling method to find sparsely clad people in static images. People are modeled as an assembly of nine cylindrical segments. Segments are found using an EM ...
Sergey Ioffe, David A. Forsyth