Results 81 to 90 of about 23,076,964 (227)
Multiresolution matrix factorization (MMF) is unusual amongst fast matrix factorization algorithms in that it does not make a low rank assumption. This makes MMF especially well suited to modeling certain types of graphs with complex multiscale or ...
Truong-Son Hy +2 more
doaj +1 more source
Haar-LikeWavelets over Tetrahedra
In this paper we define a Haar-like wavelets basis that form a basis for L2(T,S,μ), μ being the Lebesgue measure and S the σ -algebra of all tetrahedra generated from a subdivision method of the T tetrahedron.
Liliana Beatriz Boscardín +2 more
doaj +1 more source
To define the emergence of the claustral complex in relation to the expression patterns of Nr4a2 and Fezf1 in the domestic cat, a species with more protracted prenatal development than the mouse, we performed a genoarchitectonic analysis. Nr4a2 marked differentiating claustral neurons within the LPall mantle, whereas Fezf1 was broadly expressed in the ...
Nikistratos Siskos +6 more
wiley +1 more source
Denoising Techniques Based on the Multiresolution Representation [PDF]
So far, considerable research efforts have been invested in the are of using statistical methods for image processing purposes yielding to a significant amount of models that aim to improve as much as possible the still existing and currently used ...
Viorica STEFANESCU +3 more
core
Multiresolution Analysis and Radon Measures on a Locally Compact Abelian Group [PDF]
summary:A multiresolution analysis is defined in a class of locally compact abelian groups $G$. It is shown that the spaces of integrable functions $\mathcal L^p(G)$ and the complex Radon measures $M(G)$ admit a simple characterization in terms of this ...
Galindo, Félix +3 more
core +1 more source
Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms. [PDF]
Abdel-Hamid L.
europepmc +1 more source
Continuous Wavelet Decompositions, Multiresolution, and Contrast Analysis
International audienceA continuous version of multiresolution analysis is described, starting from usual continuous wavelet decompositions. Scale discretization leads to decompositions into functions of arbitrary bandwidth, satisfying QMF-like conditions.
Duval-Destin, Marc +2 more
core +1 more source
Unsupervised texture segmentation using multiresolution Markov random fields [PDF]
In this thesis, a multiresolution Markov Random Field (MMRF) model for segmenting textured images without supervision is proposed. Stochastic relaxation labelling is adopted to assign the class label with highest probability to the block (site) being ...
Li, Chang-Tsun
core
Multiresolution Mesh Representation: Models and Data Structures
Multiresolution meshes are a common basis for building representations of a geometric shape at dierent levels of detail. The use of the term multiresolution depends on the remark that the accuracy (or, level of detail) of a mesh in approximating a shape
Leila De Floriani +6 more
core +1 more source
Adaptive Wavelet Thresholding for Multiresolution Denoising Based on Image Size
Hard thresholding is a common method for denoising wavelet coefficients. However, determining an optimal threshold remains challenging. Therefore, we propose an adaptive hard threshold that accounts for the size of the noisy image based on the ...
Chih-Yu Tsai, Jian-Jiun Ding
doaj +1 more source

