Results 241 to 250 of about 1,245,641 (265)

Multi-Scale Texture Modeling

Mathematical Geosciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hielscher, Ralf, Schaeben, Helmut
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Multi-scale ecosystem analysis

Environmental Monitoring and Assessment, 1996
As a precursor to management, ecosystems of different sizes need to be mapped at different scales. The key to developing criteria for subdividing land into ecosystems is understanding the factors that control ecosystem size at various scales in a hierarchy.
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Providing multi-scale consistency for multi-scale geospatial data

Proceedings of the 25th International Conference on Scientific and Statistical Database Management, 2013
We are immersed in a world in which we constantly deal (and cope) with objects and phenomena in a variety of scales in space and time. With the increase in collaborative and inter-disciplinary research, there appeared a growing need for handling data in multiple scales and representations, within a single environment.
João S. C. Longo, Claudia Bauzer Medeiros   +1 more
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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), 2018
Recent 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, Zhen Wu, Chunyan Li, Hui Zhang, Li Ren, Wenjing Wang, Ruiyao Ma, Ankang Hu, Hongyu Zhu, Junli Li   +9 more
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Crossing-Preserving Multi-scale Vesselness

2014
The multi-scale Frangi vesselness filter is an established tool in (retinal) vascular imaging. However, it cannot properly cope with crossings or bifurcations since it only looks for elongated structures. Therefore, we disentangle crossings/bifurcations via (multiple scale) invertible orientation scores and apply vesselness filters in this domain. This
Julius Hannink, Remco Duits, Erik Bekkers   +2 more
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Multi-scale methods

International Journal for Numerical Methods in Engineering, 2000
Summary: We propose four multiple-scale methods. The meshless hierarchical partition of unity is used as a multiple-scale basis. We employ the multiple-scale analysis with the introduction of a dilation parameter to perform the multiresolution analysis.
Liu, Wing Kam, Hao, Su, Belytschko, Ted, Li, Shaofan, Chang, Chin Tang   +4 more
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Symmetric multi-scale image registration

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010
It is known that the transformations estimated in most of the non-rigid image registration methods are not invertible. This means that the transformation is not one-to-one and also it defines the deformation only in one direction making the registration methods become inconsistent.
Fahimeh, Mohagheghian, Alireza, Ahmadian, Hooshang, Saberi, Javad, Alirezaie   +3 more
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Multi-scale approaches for geodata

1999
Topological object relationships in combination with object classification hierarchies appear to be fundamental in the definition of the aggregation rules for spatial objects. Such rules are essential building blocks for the construction of generalization procedures in spatial databases.
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Multi-scale Support Vector Regression

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010
A multi-kernel Support Vector Machine model, called Hierarchical Support Vector Regression (HSVR), is proposed here. This is a self-organizing (by growing) multiscale version of a Support Vector Regression (SVR) model. It is constituted of hierarchical layers, each containing a standard SVR with Gaussian kernel, at decreasing scales.
S. Ferrari, F. Bellocchio, V. Piuri, N.A. Borghese   +3 more
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Multi-scale optimization

2004
Abstract Global optimization problems with so-called ‘rough’ or rugged objective function landscapes are studied. These problems often have many, many stationary points and show considerable differences between small and large-scale geometry. A novel multi-scale global optimization algorithm for solving ‘rough’ objective functions, based on the ...
Lucia, Angelo, DiMaggio, Peter A.
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