Results 41 to 50 of about 15,521,488 (377)

Generalized Gaussian Scale-Space Axiomatics Comprising Linear Scale-Space, Affine Scale-Space and Spatio-Temporal Scale-Space

Journal of Mathematical Imaging and Vision, 2010
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openaire   +3 more sources

Exploring redshift-space distortions in large-scale structure

, 2018
We explore and compare different ways large-scale structure observables in redshift-space and real space can be connected. These include direct computation in Lagrangian space, moment expansions and two formulations of the streaming model.
Vlah, Zvonimir, White, Martin
core   +1 more source

Redshift space correlations and scale-dependent stochastic biasing of density peaks [PDF]

, 2010
We calculate the redshift space correlation function and the power spectrum of density peaks of a Gaussian random field. In the linear regime k < 0.1 h/Mpc, the redshift space power spectrum is P^s_{pk}(k,u) = exp(-f^2 s_{vel}^2 k^2 u^2) * [b_{pk}(k) +
A. Taruya, A. G. Doroshkevich, A. J. S. Hamilton, A. N. Taylor, A. S. Szalay, E. Regös, H. J. Mo, H. J. Mo, I. S. Gradshteyn, J. A. Peacock, J. A. Peacock, J. A. Peacock, J. A. Peacock, J. C. Jackson, N. Kaiser, P. Coles, P. Coles, P. B. Lilje, P. J. E. Peebles, R. K. Sheth, R. K. Sheth, Ravi K. Sheth, S. Cole, S. Cole, S. L. Lumsden, S. O. Rice, Vincent Desjacques, W. E. Ballinger, Y.-S. Song   +28 more
core   +1 more source

Automated Reconstruction of Building LoDs from Airborne LiDAR Point Clouds Using an Improved Morphological Scale Space

Remote Sensing, 2016
Reconstructing building models at different levels of detail (LoDs) from airborne laser scanning point clouds is urgently needed for wide application as this method can balance between the user’s requirements and economic costs.
Bisheng Yang, Ronggang Huang, Jianping Li, M. Tian, Wenxia Dai, Ruofei Zhong   +5 more
semanticscholar   +1 more source

Approximation properties relative to continuous scale space for hybrid discretisations of Gaussian derivative operators

Frontiers in Signal Processing
This paper presents an analysis of properties of two hybrid discretisation methods for Gaussian derivatives, based on convolutions with either the normalised sampled Gaussian kernel or the integrated Gaussian kernel followed by central differences.
Tony Lindeberg
doaj   +1 more source

Fast Frequency Estimation by Zero Crossings of Differential Spline Wavelet Transform

EURASIP Journal on Advances in Signal Processing, 2005
Zero crossings or extrema of a wavelet transform constitute important signatures for signal analysis with the advantage of great simplicity. In this paper, we introduce a fast frequency-estimation method based on zero-crossing counting in the transform ...
Chen Jie, Wu Qiang, Castleman Kenneth R, Wang Yu-Ping   +3 more
doaj   +1 more source

Bulk Scale Factor at Very Early Universe [PDF]

, 2011
In this paper we propose a higher dimensional Cosmology based on FRW model and brane-world scenario. We consider the warp factor in the brane-world scenario as a scale factor in 5-dimensional generalized FRW metric, which is called as bulk scale factor ...
A. Einstein, A.G. Walker, A.Z. Friedmann, E. Yusofi, F.J. Yndurain, G. Gamow, H.P. Robertson, J. Sadeghi, K. Nozari, L. Randal, M. Chaichian, M. Holthausen, M. Mohsenzadeh, N. Arkani-Hamed, O. Klein, O. Klein, P.J. Steinhardt, S.K. Srivastava, S.M. Carroll, T. Kaluza, T. Li, T.R. Mongan, W. Sitter de, Z. Berezhiani   +23 more
core   +1 more source

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
We address the issue of visual saliency from three perspectives. First, we consider saliency detection as a frequency domain analysis problem. Second, we achieve this by employing the concept of nonsaliency.
Jian Li, M. Levine, X. An, Xin Xu, Hangen He   +4 more
semanticscholar   +1 more source

Scale Space Smoothing, Image Feature Extraction and Bessel Filters

, 2011
The Green function of Mumford-Shah functional in the absence of discontinuities is known to be a modified Bessel function of the second kind and zero degree. Such a Bessel function is regularized here and used as a filter for feature extraction.
Gunn, Steve, Mahmoodi, Sasan
core   +1 more source

Space-efficient Feature Maps for String Alignment Kernels [PDF]

, 2019
String kernels are attractive data analysis tools for analyzing string data. Among them, alignment kernels are known for their high prediction accuracies in string classifications when tested in combination with SVM in various applications.
CC Chang, G Cormode, H Lodhi, H Saigo, M Kanehisa, MC Ferris, RE Fan, S Kim, T Gärtner, T Hofmann, TF Smith   +10 more
core   +4 more sources