Results 251 to 260 of about 22,752,852 (303)

Motion analysis by translational decomposition

Pattern Recognition Letters, 1997
Abstract The Local Translational Decomposition (LTD) is a low-level description of image motion, constructed by applying procedures for processing translational motion to small image areas. This yields a 3D vector for local areas which approximates the direction of motion of the corresponding area in the environment.
Daryl T. Lawton, Warren F. Gardner
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Ontological Analysis of Functional Decomposition

2009
Functional decomposition is a popular technique applied not only in software engineering but also in business modeling and in technical devices design. As its principle it takes a functional view on a system and analyzes it in terms of functions. However, despite its popularity the notion of functional decomposition seems not to be clear-cut and as ...
Patryk Burek, Heinrich Herre, Frank Loebe   +2 more
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An Analysis and Hierarchical Decomposition for HAMs

2009 International Conference on Computational Science and Engineering, 2009
In the HRL field, there are several main methods such as HAMs, options, MAXQ. These methods all rely on the theory of SMDPs. However, SMDPs does not specify how the overall task can be decomposed into a collection of subtasks. This paper introduces the concept of “policy-coupled” SMDPs into HAMs. It defines the concept of HAM-decomposable and makes the
Xiaoqin Du, Qinghua Li, Jianjun Han
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InSAR Coherence-Decomposition Analysis

IEEE Geoscience and Remote Sensing Letters, 2010
The phase coherence in synthetic aperture radar interferometry is often used in classification algorithms to detect possible temporal changes of the imaged terrain. However, in mountain areas, the interferometric coherence is also sensitive to the slight variations of the acquisition geometry.
Teng Wang 0001, Mingsheng Liao, Daniele Perissin   +2 more
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An analysis of decomposition for subjective estimation in decision analysis

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998
In decision analysis, it is frequently necessary to obtain reasonably precise estimates of unknown quantities, including both probabilities and utilities. Decomposition is often used for this purpose, under the assumption that it is preferable to direct elicitation.
Sigrún Andradóttir, Vicki M. Bier
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Sparse Decompositions for Exploratory Pattern Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
We define and verify the utility of a pattern analysis procedure called sparse decomposition. This technique involves sequentially ``peeling'' sparse subsets of patterns from a pattern set, where sparse subsets are sets of patterns which possess a certain degree of regularity or compactness as measured by a compactness measure c.
Richard L. Hoffman, Anil K. Jain 0001
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A mathematical analysis of the scattered decomposition

Proceedings of the third conference on Hypercube concurrent computers and applications: Architecture, software, computer systems, and general issues - Volume 1, 1988
A theoretical basis for the scattered decomposition is worked out in some detail. The basic result has been part of the “folklore” for some time, but has never been proved. The load imbalance expected from a scattered decomposition of a set of computational tasks is proportional n-1/2stask/mtask where n is the number of tasks assigned to each processor,
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Knowledge decomposition: An analysis

1996
Items are a uniform framework for modelling the data, information and knowledge in a knowledge-based system. If two items share an unstated sub-item between them then any changes to that unstated sub-item will require that both of those two items should also be modified; this situation constitutes a maintenance hazard.
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