Results 121 to 130 of about 942,483 (302)
Fast re-parameterisation of gaussian mixture models for robotics applications [PDF]
, 2004 Autonomous navigation and picture compilation tasks require robust feature descriptions or models. Given the non-Gaussian nature of sensor observations, it will be shown that Gaussian mixture models provide a general probabilistic representation allowing
Ling Ong, Lee +5 more
core
Advanced Functional Materials, EarlyView.A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source
Alexandria Engineering JournalSonar images are frequently degraded by speckle noise due to the inherent scattering properties of acoustic signals, leading to blurred edges, low contrast, and uneven grayscale distributions.
Wei Tian +5 more
doaj +1 more source
Simulating mixture of sub-Gaussian spatial data [PDF]
AUT Journal of Mathematics and ComputingSpatial datasets may contain extreme values and exhibit heavy tails. So, the Gaussianity assumption for the corresponding random field is not reasonable. A sub-Gaussian α-stable (SGαS) random field may be more suitable as a model for heavy-tailed spatial
Seyedeh Somayeh Mousavi +1 more
doaj +1 more source
On the entropy and information of Gaussian mixtures
MathematikaAbstractWe establish several convexity properties for the entropy and Fisher information of mixtures of centred Gaussian distributions. Firstly, we prove that if are independent scalar Gaussian mixtures, then the entropy of is concave in , thus confirming a conjecture of Ball, Nayar and Tkocz (2016) for this class of random variables.
Eskenazis, Alexandros +1 more
openaire +5 more sources
Advanced Functional Materials, EarlyView.Fully additive vertical organic electrochemical transistors (vOECTs) with channel‐length of 226 nm on a 50 µm compostable substrate achieve >106 current modulation and ∼36 mS transconductance. Ion‐selective integration enables 1.1 mA dec−1 sensitivity and 36 µm detection limit, highlighting a scalable platform for sustainable electronics and ...
Giulia Frusconi +3 more
wiley +1 more source
Infinite mixtures of multivariate Gaussian processes [PDF]
2013 International Conference on Machine Learning and Cybernetics, 2013 Proceedings of the International Conference on Machine Learning and Cybernetics, 2013, pages 1011 ...
openaire +4 more sources
Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film
Advanced Functional Materials, EarlyView.ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu +7 more
wiley +1 more source
Object Tracking with Multiple Instance Learning and Gaussian Mixture Model [PDF]
, 2015 Recently, Multiple Instance Learning (MIL) technique has been introduced for object tracking\linebreak applications, which has shown its good performance to handle drifting problem. While some instances in positive bags not only contain objects, but also
Zhao, Xiangmo +4 more
core +1 more source
gmr: Gaussian Mixture Regression [PDF]
Journal of Open Source Software, 2021 openaire +2 more sources