نتایج جستجو برای: geometrical variability
تعداد نتایج: 200767 فیلتر نتایج به سال:
the scope of this research is to investigate the effect of geometrical and physical input parameters in crustal viscoelastic deformation models. to do this analysis viscoelastic model of wang et al., 2006 is used. the increasing quality of data on time-dependent deformation of the earth's surface can be used to extract more details on the spatial and temporal development of earthquake-rela...
Many processes in science and engineering develop multiscale temporal and spatial patterns, with complex underlying dynamics and time-dependent external forcings. Because of the importance in understanding and predicting these phenomena, extracting the salient modes of variability empirically from incomplete observations is a problem of wide contemporary interest. Here, we present a technique f...
In this paper the real time virtual dress-up system has been proposed. The proposed system consists of multiple tasks including extraction of different body parts, torso detection, resizing input dress images and dress up using blending and re-blending techniques over the subject. The coexistence of different clothing and cluttering backgrounds is the main difficulty for accurate body extractio...
Variability in young stellar objects (YSOs) can be caused by various time-dependent phenomena associated with star formation, including accretion rates, geometric changes the circumstellar disks, stochastic hydromagnetic interactions between surfaces and inner-disk edges, reconnections within magnetosphere, hot/cold spots on surfaces. We uncover characterize ?1700 variables from a sample of ?54...
Quantum mechanics has a rich geometrical structure which allows for a geometrical formulation of the theory. This formalism was introduced by Kibble and later developed by a number of other authors. The usual approach has been to start from the standard description of quantum mechanics and identify the relevant geometrical features that can be used for the reformulation of the theory. Here this...
Many processes in science and engineering develop multiscale temporal and spatial patterns, with complex underlying dynamics and time-dependent external forcings. Because of the importance in understanding and predicting these phenomena, extracting the salient modes of variability empirically from incomplete observations is a problem of wide contemporary interest. Here, we present a technique f...
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