Results 91 to 100 of about 365,701 (280)

Gaussian Mixture Model Based Classification of Stuttering Dysfluencies

Journal of Intelligent Systems, 2016
The classification of dysfluencies is one of the important steps in objective measurement of stuttering disorder. In this work, the focus is on investigating the applicability of automatic speaker recognition (ASR) method for stuttering dysfluency ...
Mahesha P., Vinod D.S.
doaj   +1 more source

Location Dependent Dirichlet Processes

, 2017
Dirichlet processes (DP) are widely applied in Bayesian nonparametric modeling. However, in their basic form they do not directly integrate dependency information among data arising from space and time.
A Oliva, A Rodríguez, C Bishop, C Williams, CE Rasmussen, D Blei, D Blei, D Dunson, E Sudderth, F Zhu, H Ishwaran, J Duan, J Griffin, J Griffin, J Paisley, J Sethuraman, J Shi, L Ren, N Foti, P Orbanz, R Unnikrishnan, S Kumar, T Ferguson, X Sun, YW Teh   +24 more
core   +1 more source

Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties

Advanced Functional Materials, EarlyView.
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon, Raúl López‐Martín, Verner Håkonsen, Nader Yaacoub, Francisco J. Terán, Alberto López Ortega, Jose A. De Toro, Gurvinder Singh   +7 more
wiley   +1 more source

A fast level set segmentation algorithm for sonar images driven by Gaussian Mixture Model probability

Alexandria Engineering Journal
Sonar 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, Zhaonan Mu, Yanyan Lu, Sujin Cai, Yan Xiong, Yu Huang   +5 more
doaj   +1 more source

Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures [PDF]

, 2014
We consider the problem of clustering data points in high dimensions, i.e. when the number of data points may be much smaller than the number of dimensions.
Azizyan, Martin, Singh, Aarti, Wasserman, Larry   +2 more
core  

From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts

Advanced Functional Materials, EarlyView.
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado, Enqi Bu, Yaning Han, Carlos López‐Cartes, Mónica Calatayud, Huiyan Pan, Xiaowei Chen   +6 more
wiley   +1 more source

Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection

BMC Bioinformatics, 2010
Background Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is one of the key components in LC-MS data pre-processing.
Peng Hesen, Yu Tianwei
doaj   +1 more source

Noise adaptive training for subspace Gaussian mixture models [PDF]

, 2013
Noise adaptive training (NAT) is an effective approach to normalise the environmental distortions in the training data. This paper investigates the model-based NAT scheme using joint uncertainty decoding (JUD) for subspace Gaussian mixture models (SGMMs).
Ghoshal, Arnab, Lu, Liang, Renals, Steve
core   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Analysis of Different Statistical Models in Probabilistic Joint Estimation of Porosity and Litho-Fluid Facies from Acoustic Impedance Values

Geosciences, 2018
We discuss the influence of different statistical models in the prediction of porosity and litho-fluid facies from logged and inverted acoustic impedance (Ip) values.
Mattia Aleardi
doaj   +1 more source