Results 181 to 190 of about 4,780,938 (334)
Wavelet Space-Scale Decomposition Analysis of QSO's Lyman-Alpha Lines: Spectrum of non-Gaussianity
Jesús Pando, Li‐Zhi Fang
openalex +2 more sources
Attractor states and infrared scaling in de Sitter space [PDF]
Paul R. Anderson+4 more
openalex +1 more source
Objectives Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centred care and informing local service pathways and care guidelines or standards.
Sonia Ranelli+8 more
wiley +1 more source
Scale space view of curve estimation [PDF]
Probal Chaudhuri, J. S. Marron
openalex +1 more source
Uncertainty Quantification for Scale-Space Blob Detection. [PDF]
Parzer F, Kirisits C, Scherzer O.
europepmc +1 more source
Thumbnail Tensor-A Method for Multidimensional Data Streams Clustering with an Efficient Tensor Subspace Model in the Scale-Space. [PDF]
Cyganek B.
europepmc +1 more source
Recently, there has been growing discussion about how to best assess pain in clinical trials in rheumatic diseases. Reliable measurement of pain outcomes is essential for accurately determining the effectiveness of treatments. While pain intensity is the most common measure of change in pain trials, other pain‐related measures, such as pain ...
Yen T. Chen+4 more
wiley +1 more source
[ITAL]Hubble Space Telescope[/ITAL] STIS Spectroscopy of the Optical Outflow from DG Tauri: Structure and Kinematics on Subarcsecond Scales [PDF]
F. Bacciotti+5 more
openalex +1 more source
Regularization and Scale Space
Computational vision often needs to deal with derivatives of digital images. Derivatives are not intrinsic properties of a digital image; a paradigm is required to make them well-defined. Normally, a linear filtering is applied. This can be formulated in terms of scale space, functional minimization or edge detection filters.
Nielsen, Mads+2 more
openaire +1 more source