Results 71 to 80 of about 14,989,965 (288)
Randaugment: Practical automated data augmentation with a reduced search space [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Recent work on automated augmentation strategies has led to state-of-the-art results in image classification and object detection. An obstacle to a large-scale adoption of these methods is that they require a separate and expensive search phase. A common
E. D. Cubuk +3 more
semanticscholar +1 more source
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
Large-scale retrospective relative spectro-photometric self-calibration in space [PDF]
, 2017 We consider the application of relative self-calibration using overlap regions to spectroscopic galaxy surveys that use slit-less spectroscopy. This method is based on that developed for the SDSS by Padmanabhan at al.
Amiaux, Jerome +9 more
core +3 more sources
An Adaptive Method for Star Extraction from Digital Astronomical Images [PDF]
فصلنامه علوم و فناوری فضایی, 2010 Celestial positioning has been used for navigation purposes for many years. Stars as the extra-terrestrial benchmarks provide unique opportunity in absolute point positioning.
M. A. Sharifi +2 more
doaj
Space, scale, and scaling in entropy-maximising [PDF]
, 2010 Entropy measures were first introduced into geographical analysis during a period when the concept of human systems as being in some sort of equilibrium was in the ascendancy.
Batty, M.
core
A Scale-Space Medialness Transform Based on Boundary Concordance Voting [PDF]
, 1999 The Concordance-based Medial Axis Transform (CMAT) presented in this paper is a multiscale medial axis (MMA) algorithm that computes the medial response from grey-level boundary measures.
Pycock, David, Xu, Ming
core +1 more source
Computing an Exact Gaussian Scale-Space
Image Processing On Line, 2016 Gaussian convolution is one of the most important algorithms in image processing. The present work focuses on the computation of the Gaussian scale-space, a family of increasingly blurred images, responsible, among other things, for the scale-invariance ...
Ives Rey Otero, Mauricio Delbracio
doaj +1 more source
Improvement of Harris Algorithm Based on Gaussian Scale Space [PDF]
Engineering and Technology Journal, 2019 Features is the description of the image contents which could be corner, blob or edge. Corners are one of the most important feature to describe image, therefore there are many algorithms to detect corners such as Harris, FAST, SUSAN, etc.
Abdul Amir Karim, Rafal Sameer
doaj +1 more source
Modulated Scale-free Network in the Euclidean Space
, 2002 A random network is grown by introducing at unit rate randomly selected nodes on the Euclidean space. A node is randomly connected to its $i$-th predecessor of degree $k_i$ with a directed link of length $\ell$ using a probability proportional to $k_i ...
A.-L. Barabási +21 more
core +1 more source
Scale invariant Einstein-Cartan gravity and flat space conformal symmetry
Journal of High Energy Physics, 2023 We find the conditions under which scale-invariant Einstein-Cartan gravity with scalar matter fields leads to an approximate conformal invariance of the flat space particle theory up to energies of the order of the Planck mass.
Georgios K. Karananas +2 more
doaj +1 more source