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CVPR
2007
IEEE
16 years 6 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
ICCV
2003
IEEE
16 years 6 months ago
Reliable Recovery of Piled Box-like Objects via Parabolically Deformable Superquadrics
Automatic unloading of piled box-like objects is undoubtedly of great importance to the industry. In this contribution a system addressing this problem is described: We employ a l...
Dimitrios Katsoulas
ICIP
2006
IEEE
16 years 5 months ago
Unsupervised Simultaneous Registration and Exposure Correction
Early approaches to building mosaics by composing photographic images, assume the input images have similar exposures. Since this is unlikely to happen in practice, it became comm...
Pedro M. Q. Aguiar
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 10 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
ROBOCUP
2007
Springer
162views Robotics» more  ROBOCUP 2007»
15 years 10 months ago
Adaptive Recognition of Color-Coded Objects in Indoor and Outdoor Environments
Abstract. To achieve robust color perception under varying light conditions in indoor and outdoor environments, we propose a three-step method consisting of adaptive camera paramet...
Yasutake Takahashi, Walter Nowak, Thomas Wisspeint...