AbstractWe construct a complete metric space (Y,dY) of random measure-valued image functions. This formalism is an extension of previous work on measure-valued image functions
A formulation of hyperspectral images as function-valued mappings is introduced, along with a set of...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
Tangent measure distributions are a natural tool to describe the local geometry of arbitrary measure...
AbstractWe construct a complete metric space (Y,dY) of random measure-valued image functions. This f...
We construct a complete metric space (Y,dY) of random measure-valued image functions. This formalism...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
After recalling the notion of a complete metric space (Y,dY)(Y,dY) of measure-valued images over a b...
New metrics are introduced in the space of random measures and are applied, with various modificatio...
AbstractFractals and measures are often defined in a constructive way. In this paper, we give the co...
Self-similar random fractal measures were studied by Hutchinson and Rüschen-dorf. Working with proba...
AbstractIn this paper, we show how the generalized self-similarity model introduced by Cabrelli et a...
AbstractAn adaptive sampling scheme is presented for discrete representation of complex patterns in ...
We prove preservation of L q dimensions (for 1 < q ≤ 2) under all orthogonal projections for a class...
The most known fractals are invariant sets with respect to a system of contraction maps, especially ...
A formulation of hyperspectral images as function-valued mappings is introduced, along with a set of...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
Tangent measure distributions are a natural tool to describe the local geometry of arbitrary measure...
AbstractWe construct a complete metric space (Y,dY) of random measure-valued image functions. This f...
We construct a complete metric space (Y,dY) of random measure-valued image functions. This formalism...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
Most practical as well as theoretical works in image processing and mathematical imaging consider im...
After recalling the notion of a complete metric space (Y,dY)(Y,dY) of measure-valued images over a b...
New metrics are introduced in the space of random measures and are applied, with various modificatio...
AbstractFractals and measures are often defined in a constructive way. In this paper, we give the co...
Self-similar random fractal measures were studied by Hutchinson and Rüschen-dorf. Working with proba...
AbstractIn this paper, we show how the generalized self-similarity model introduced by Cabrelli et a...
AbstractAn adaptive sampling scheme is presented for discrete representation of complex patterns in ...
We prove preservation of L q dimensions (for 1 < q ≤ 2) under all orthogonal projections for a class...
The most known fractals are invariant sets with respect to a system of contraction maps, especially ...
A formulation of hyperspectral images as function-valued mappings is introduced, along with a set of...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
Tangent measure distributions are a natural tool to describe the local geometry of arbitrary measure...
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