Results 41 to 50 of about 365,701 (280)

OPTICAL-TO-SAR IMAGE REGISTRATION BASED ON GAUSSIAN MIXTURE MODEL [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Image registration is a fundamental in remote sensing applications such as inter-calibration and image fusion. Compared to other multi sensor image registration problems such as optical-to-IR, the registration for SAR and optical images has its specials.
H. Wang, H. Wang, C. Wang, P. Li, P. Li, Z. Chen, M. Cheng, L. Luo, Y. Liu   +8 more
doaj   +1 more source

Bayesian source separation with mixture of Gaussians prior for sources and Gaussian prior for mixture coefficients [PDF]

, 2001
In this contribution, we present new algorithms to source separation for the case of noisy instantaneous linear mixture, within the Bayesian statistical framework.
Mohammad-Djafari, Ali, Snoussi, Hichem
core   +3 more sources

Spike sorting with Gaussian mixture models [PDF]

Scientific Reports, 2018
Abstract The shape of extracellularly recorded action potentials is a product of several variables, such as the biophysical and anatomical properties of the neuron and the relative position of the electrode. This allows isolating spikes of different neurons recorded in the same channel into clusters based on waveform features. However,
Souza, Bryan C., Lopes-dos-Santos, Vítor, Bacelo, João, Tort, Adriano B. L.   +3 more
openaire   +3 more sources

House Prices Segmentation Using Gaussian Mixture Model-Based Clustering

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
House is a place for humans to live and a main necessity for humans. For years, the need for houses is increasing and varied so that it affects the selling price of the house. Therefore, more research is needed to learn about the selling price of houses.
Muhammad Hafidh Raditya, Indwiarti, Aniq Atiqi Rohmawati   +2 more
doaj   +1 more source

Efficient Greedy Learning of Gaussian Mixture Models [PDF]

Neural Computation, 2003
This article concerns the greedy learning of gaussian mixtures. In the greedy approach, mixture components are inserted into the mixture one aftertheother.We propose a heuristic for searching for the optimal component to insert. In a randomized manner, a set of candidate new components is generated.
Verbeek, Jakob, Vlassis, Nikos, Krose, Ben   +2 more
openaire   +4 more sources

Optimized Data Association Based on Gaussian Mixture Model

IEEE Access, 2020
Data association is the foundation of state estimation in mobile robot simultaneous localization and mapping. Aiming at the problems of false association, high computational complexity in joint compatible branch and bound algorithm, we propose an ...
Xiaogang Ruan, Dingqi Ren, Xiaoqing Zhu, Shaoda Liu   +3 more
doaj   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

Prediction of operating dynamics in floating-zone crystal growth using Gaussian mixture model

Science and Technology of Advanced Materials: Methods, 2022
We have applied a Gaussian mixture regression to the prediction of operation dynamics in floating zone crystal growth as an example of a materials process.
R. Omae, S. Sumitani, Y. Tosa, S. Harada
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

An Improved Gaussian Mixture CKF Algorithm under Non-Gaussian Observation Noise

Discrete Dynamics in Nature and Society, 2016
In order to solve the problems that the weight of Gaussian components of Gaussian mixture filter remains constant during the time update stage, an improved Gaussian Mixture Cubature Kalman Filter (IGMCKF) algorithm is designed by combining a Gaussian ...
Hongjian Wang, Cun Li
doaj   +1 more source