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Russian Mathematical Surveys, 1966 CONTENTSIntroduction § 1. Scales of Banach spaces § 2. Normal embeddings of spaces and of their duals § 3. Normal scale of spaces. Related spaces § 4. Interpolation properties. Minimal and maximal scales § 5. The Holder scale § 6. The Marcinkiewicz scale § 7. Analytic scales § 8. Spaces of means § 9. Hilbert scalesAddendum: Yu. I. Petunin. A non-linear
S G Krein, Yu. I. Petunin
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A Dynamic Scale–Space Paradigm [PDF]
Journal of Mathematical Imaging and Vision, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alfons H. Salden +2 more
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Image and Vision Computing, 1994
A generalization of linear Gaussian scale-space theory for scalar images is proposed, based on a particular type of metric transform preserving the intrinsic properties of the spatial domain. The existence of such a transformation defines an equivalence class.
Max A. Viergever +4 more
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A generalization of linear Gaussian scale-space theory for scalar images is proposed, based on a particular type of metric transform preserving the intrinsic properties of the spatial domain. The existence of such a transformation defines an equivalence class.
Max A. Viergever +4 more
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Pattern Recognition, 1996
In this paper, we first approximate the Gaussian function with any scale by the linear finite combination of Gaussian functions with dyadic scale; consequently, the scale space can be constructed much more efficiently: we only perform smoothing at these dyadic scales and the smoothed signals at other scales can be found by calculating linear ...
Songde Ma, Ge Cong
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In this paper, we first approximate the Gaussian function with any scale by the linear finite combination of Gaussian functions with dyadic scale; consequently, the scale space can be constructed much more efficiently: we only perform smoothing at these dyadic scales and the smoothed signals at other scales can be found by calculating linear ...
Songde Ma, Ge Cong
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Spaces and scales of innovation
Progress in Human Geography, 2001Contemporary research on innovative processes makes use of a range of scales, from the global to the regional/local. In addition, network-based approaches have introduced a nonterritorially bounded dimension to studies of innovation. While much of the latter has, to date, been concerned with local networks, recent work has pointed to the importance of
Bunnell, T.G., Coe, N.M.
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Journal of Mathematical Imaging and Vision, 1994
The formulation of afront-end orearly vision system is addressed, and its connection with scale-space is shown. A front-end vision system is designed to establish a convenient format of some sampled scalar field, which is suited for postprocessing by various dedicated routines.
Jan J. Koenderink +3 more
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The formulation of afront-end orearly vision system is addressed, and its connection with scale-space is shown. A front-end vision system is designed to establish a convenient format of some sampled scalar field, which is suited for postprocessing by various dedicated routines.
Jan J. Koenderink +3 more
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