Results 101 to 110 of about 1,188,974 (311)
Real-Time Scale Selection in Hybrid Multi-Scale Representations
Local scale information extracted from visual data in a bottom-up manner constitutes an important cue for a large number of visual tasks. This article presents a framework for how the computation of such scale descriptors can be performed in real time
Bretzner, Lars, +5 more
core +1 more source
α Scale Spaces on a Bounded Domain [PDF]
We consider alpha scale spaces, a parameterized class (alpha is an element of (0, 1]) of scale space representations beyond the well-established Gaussian scale space, which are generated by the alpha-th power of the minus Laplace operator on a bounded ...
Felsberg, M +15 more
core +1 more source
Shape recognition using orientational and morphological scale‐spaces of curvatures
In this study, a scale‐invariant representation for closed planar curves (silhouettes) is proposed. The orientations of all points within the Gaussian scale‐space of the curve are extracted.
Erdem Akagündüz
doaj +1 more source
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Sapienza S5Lab student driven small-scale space missions and experiments
The rising number of concepts for small size space payloads, e.g. space station experiments, nano- or pico-satellites and stratospheric experiments, is widening the users number for such payloads to virtually all the people in the world, as per the so ...
Piergentili F., Santoni F., Marzioli P.
core
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
GET : The connection between monogenic scale-space and Gaussian derivatives
In this paper we propose a new operator which combines advantages of monogenic scale-space and Gaussian scale-space, of the monogenic signal and the structure tensor. The gradient energy tensor (GET) defined in this paper is based on Gaussian derivatives
Köthe, Ullrich, Felsberg, Michael,
core
Scale Space Smoothing, Image Feature Extraction and Bessel Filters [PDF]
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.
Mahmoodi, Sasan +3 more
core +1 more source
Design of Large-Scale Space Lattice Structure with Near-Zero Thermal Expansion Metamaterials
Thermal expansion is inevitable for space structures under the alternating temperature of outer space around the earth. This may lead to the thermal stress and deformation due to the mismatch of the coefficient of thermal expansion.
Ruinan Mu +4 more
core +1 more source
By combining data from the Challenging Minisatellite Payload (CHAMP), Swarm-A, and newest Macau Science Satellite-1 (MSS-1) missions, we constructed a lithospheric magnetic field model up to spherical harmonic degree N = 100.
JiaXuan Zhang +5 more
doaj +1 more source

