Results 41 to 50 of about 64,340 (254)

A Grasp-Pose Generation Method Based on Gaussian Mixture Models

International Journal of Advanced Robotic Systems, 2015
A Gaussian Mixture Model (GMM)-based grasp-pose generation method is proposed in this paper. Through offline training, the GMM is set up and used to depict the distribution of the robot's reachable orientations.
Wenjia Wu
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias, Federica Avantaggiato, Gianni Pezzoli, Andrea Canessa   +3 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

Statistical characterization of full-margin rupture recurrence for Cascadia subduction zone using event time resampling and Gaussian mixture model

Geoscience Letters, 2023
Earthquake occurrence modeling of large subduction events involves significant uncertainty, stemming from the scarcity of geological data and inaccuracy of dating techniques.
Katsuichiro Goda
doaj   +1 more source

Performance comparisons between clustering models for reconstructing NGS results from technical replicates

Frontiers in Genetics, 2023
To improve the performance of individual DNA sequencing results, researchers often use replicates from the same individual and various statistical clustering models to reconstruct a high-performance callset.
Yue Zhai, Yue Zhai, Yue Zhai, Claire Bardel, Claire Bardel, Claire Bardel, Claire Bardel, Claire Bardel, Maxime Vallée, Jean Iwaz, Jean Iwaz, Jean Iwaz, Jean Iwaz, Pascal Roy, Pascal Roy, Pascal Roy, Pascal Roy   +16 more
doaj   +1 more source

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay, Merve Alaylioglu, Erdi Sahin, Sanem Sultan Yoruk Oner, Gulce Iskan, Gulce Cosku Yilmaz Cakan, Gozde Kizilates‐Evin, Emre Hari, Elif Kurt, Erdinc Dursun, Basar Bilgic, Hasmet Hanagasi, Hakan Gurvit, Tamer Demiralp, Duygu Gezen‐Ak, Bedia Samanci   +15 more
wiley   +1 more source

Federated Gaussian Mixture Models

CoRR
This paper introduces FedGenGMM, a novel one-shot federated learning approach for Gaussian Mixture Models (GMM) tailored for unsupervised learning scenarios. In federated learning (FL), where multiple decentralized clients collaboratively train models without sharing raw data, significant challenges include statistical heterogeneity, high communication
Sophia Zhang Pettersson, Kuo-Yun Liang, Juan Carlos Andresen   +2 more
openaire   +2 more sources

Gaussian Mixture Modeling with Gaussian Process Latent Variable Models [PDF]

, 2010
11 pages, 2 figures, 3 ...
Nickisch, H., Rasmussen, C.
openaire   +4 more sources

Anchored Bayesian Gaussian mixture models

Electronic Journal of Statistics, 2020
Finite mixtures are a flexible modeling tool for irregularly shaped densities and samples from heterogeneous populations. When modeling with mixtures using an exchangeable prior on the component features, the component labels are arbitrary and are indistinguishable in posterior analysis.
Kunkel, Deborah, Peruggia, Mario
openaire   +4 more sources