نتایج جستجو برای: orthogonality preserving mapping

تعداد نتایج: 253049  

2006
Peter Zolliker Klaus Simon

This paper deals with the potential of spatial gamut mapping methods as a complement to global gamut mapping algorithms. The main goal is to recover the original local contrast between neighboring pixels in addition to the usual optimization of preserving lightness, saturation and global contrast. As a typical representative for such a spatial mapping concept, we study unsharp masking applied t...

2016
Ting Yao Fuchen Long Tao Mei Yong Rui

Hashing techniques have been intensively investigated for large scale vision applications. Recent research has shown that leveraging supervised information can lead to high quality hashing. However, most existing supervised hashing methods only construct similarity-preserving hash codes. Observing that semantic structures carry complementary information, we propose the idea of cotraining for ha...

Journal: :Mechanical Systems and Signal Processing 2022

Linear modal analysis is a useful and effective tool for the design of structures. However, comprehensive basis nonlinear remains to be developed. In current work, machine learning scheme proposed with view performing analysis. The focussed on defining one-to-one mapping from latent ‘modal’ space natural coordinate space, whilst also imposing orthogonality mode shapes. achieved via use recently...

Journal: :Jurnal Derivat: Jurnal Matematika & Pendidikan Matematika 2023

An extension of the metric space in which distance same point is not always zero called a partial space. Orthogonality relation two perpendicular lines at one intersection forming right angle. There are several ways to define orthogonality, including Pythagorean Orthogonality, Isosceles and Birkhoff-James Orthogonality. The purpose this research study consistency definition orthogonality Based ...

Journal: :Journal of Mathematical Analysis and Applications 2009

Journal: :IEEE transactions on neural networks and learning systems 2021

Prediction accuracy and model explainability are the two most important objectives when developing machine learning algorithms to solve real-world problems. Neural networks known possess good prediction performance but suffer from a lack of interpretability. In this article, we propose enhance neural through following architecture constraints: 1) sparse additive subnetworks; 2) projection pursu...

2006
JOSEPH ZAKS

We describe the recent developments concerning the rational analogues of the Beckman-Quarles Theorem, and discuss a related result concerning isometric embeddings in Q of subsets of E. 1 – Let E denote the Euclidean d-space, and let Q denote the Euclidean rational d-space. A mapping f : E → E is called ρ-distance preserving if ‖x − y‖ = ρ implies that ‖f(x)−f(y)‖ = ρ. The Beckman Quarles Theore...

Journal: :Int. J. Math. Mathematical Sciences 2005
Mohammed Salem Samman

Let R be a ring with center Z(R). We write the commutator [x, y] = xy− yx, (x, y ∈ R). The following commutator identities hold: [xy,z] = x[y,z] + [x,z]y; [x, yz] = y[x,z] + [x, y]z for all x, y,z ∈ R. We recall that R is prime if aRb = (0) implies that a= 0 or b = 0; it is semiprime if aRa = (0) implies that a = 0. A prime ring is clearly a semiprime ring. A mapping f : R→ R is called centrali...

Let X be a dcpo and let L be a complete lattice. The family σL(X) of all Scott continuous mappings from X to L is a complete lattice under pointwise order, we call it the L-fuzzy Scott structure on X. Let E be a dcpo. A mapping g : σL(E) −> M is called an LM-fuzzy possibility valuation of E if it preserves arbitrary unions. Denote by πLM(E) the set of all LM-fuzzy possibility valuations of E. T...

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