Results 281 to 290 of about 6,631,135 (316)
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Rule acquisition in generalized multi-scale information systems with multi-scale decisions
International Journal of Approximate Reasoning, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weizhi Wu 0001 +3 more
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Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003
The coarse-to-fine search strategy is extensively used in current reported research. However, it has the same problem as any hill climbing algorithm, most importantly, it often finds local instead of global minima. Drawing upon the artificial intelligence literature, we applied an optimal graph search, namely A*, to the problem.
Michael S. Lew, Thomas S. Huang
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The coarse-to-fine search strategy is extensively used in current reported research. However, it has the same problem as any hill climbing algorithm, most importantly, it often finds local instead of global minima. Drawing upon the artificial intelligence literature, we applied an optimal graph search, namely A*, to the problem.
Michael S. Lew, Thomas S. Huang
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Multi-scale Dosimetry with Multi-scale Chinese Reference Phantoms
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC), 2018Recent studies on the development and applications of Chinese reference phantoms are reported in this paper. The previous work has developed a male phantom (CRAM) and a female phantom (CRAF) based on Chinese reference people. A Chinese male phantom library was constructed with 7 phantoms with heights ranging from 155 cm to 185 cm and extended to 12 ...
Rui Qiu +9 more
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Proceedings of the 15th ACM international conference on Multimedia, 2007
We consider the problem of cropping surveillance videos. This process chooses a trajectory that a small sub-window can take through the video, selecting the most important parts of the video for display on a smaller monitor. We model the information content of the video simply, by whether the image changes at each pixel.
Hazem El-Alfy +2 more
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We consider the problem of cropping surveillance videos. This process chooses a trajectory that a small sub-window can take through the video, selecting the most important parts of the video for display on a smaller monitor. We model the information content of the video simply, by whether the image changes at each pixel.
Hazem El-Alfy +2 more
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2006
This paper reviews 3D-modeling activities at the German DLR Institute of Robotics and Mechatronics, carried out within the last decade in cooperation with partners in Germany (Z+F, Illustrated Architecture, DLR Institutes of Optical Information Systems, and of Planetary Research) and international partners. The main focus is on multisensory (e.g.
Karsten Scheibe +6 more
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This paper reviews 3D-modeling activities at the German DLR Institute of Robotics and Mechatronics, carried out within the last decade in cooperation with partners in Germany (Z+F, Illustrated Architecture, DLR Institutes of Optical Information Systems, and of Planetary Research) and international partners. The main focus is on multisensory (e.g.
Karsten Scheibe +6 more
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Mathematical Geosciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hielscher, Ralf, Schaeben, Helmut
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hielscher, Ralf, Schaeben, Helmut
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Multi-scale binarization of images
Pattern Recognition Letters, 2003In this paper, we propose an original approach for the binarization of gray level images. A multi-scale algorithm based on a statistical test of homogeneity decides if a region belongs to the background or not. At each iteration the image is smoothed with a nonlinear filter to remove the noise.
Tabbone, Salvatore, Wendling, Laurent
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Multi-scale simulation of discrete systems with multi-scale supercomputer
AIP Conference Proceedings, 2013In this presentation we give an overview on the attempts of our group to speedup the simulation of discrete systems, e.g., molecules, particles and particle-fluid systems, with multi-scale numerical methods as well as multi-scale computer hardware. We demonstrate that this structural consistency between the software and hardware is vital for effective ...
Wei Ge, Jinghai Li
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Multi-scale Stacked Sequential Learning
Pattern Recognition, 2009One of the most widely used assumptions in supervised learning is that data is independent and identically distributed. This assumption does not hold true in many real cases. Sequential learning is the discipline of machine learning that deals with dependent data such that neighboring examples exhibit some kind of relationship. In the literature, there
Carlo Gatta, Eloi Puertas, Oriol Pujol
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ACM SIGGRAPH 96 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '96 on - SIGGRAPH '96, 1996
M. Sheelagh T. Carpendale +2 more
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M. Sheelagh T. Carpendale +2 more
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