Results 151 to 160 of about 241,122 (289)

Hardware Acceleration of Hidden Markov Model Decoding for Person Detection

, 2005
Suhaib A. Fahmy, Peter Y. K. Cheung, W. Luk   +2 more
openalex   +2 more sources

A suitable approach to resource allocation in biosecurity when considering dependent benefits and costs

Methods in Ecology and Evolution, EarlyView.
Abstract Optimal allocation of resources to the management of biosecurity risk, threatened species conservation or natural hazards such as bushfires is imperative—because program budgets are usually finite and, therefore, constrained. However, effectively dividing resources among management activities to achieve the greatest benefit remains a ...
Aaron Dodd, Edith Arndt, Anca Hanea
wiley   +1 more source

scGeno: a Hidden Markov Model approach to denoise chromosome-scale genotypes from single-cell data. [PDF]

Bioinform Adv
Tornisiello R, Kretzmer H.
europepmc   +1 more source

Human Motion Analysis Using Hidden Markov Model

, 2017
Uttam Kumar Kar, Md Shafiul, Alam Chowdhury, B Horowits, A Pentland, Yang He, Amlan Kundu, David Hogg, B Hwang, S Takaba, J Aloimonos, A Kunda, Y He, P Bahl, J O'rourke, N Badler, E Oscarsson, L Rabiner, B Juang, T Aong, M Ishikawa   +20 more
openalex   +1 more source

A Bayesian classification model to reconstruct lifetime movement patterns of riverine fish using environmental tracers

Methods in Ecology and Evolution, EarlyView.
Abstract Environmental tracers, including both elemental concentrations and isotope ratios, are widely used to reconstruct the movement patterns of animals throughout landscapes. The methodology involves creating a map that describes the distribution of the environmental tracer across the landscape, an isoscape and then matching the values of the same ...
Michael P. Venarsky, Edward L. Boone, Ben Stewart‐Koster, David A. Crook, Kaitlyn O'Mara, Jon Woodhead, Roland Maas, Stuart Bunn   +7 more
wiley   +1 more source

Decoding the neural dynamics of everyday prospective remembering: a hidden Markov model approach. [PDF]

Front Hum Neurosci
Vicentin S, Reschini DB, Santacesaria P, Toffoli L, Zago S, Arcara G, Cona G.   +6 more
europepmc   +1 more source

Trait coevolution and causal inference using generalized dynamic phylogenetic models

Methods in Ecology and Evolution, EarlyView.
Abstract Phylogenetic comparative methods are widely used to study trait coevolution across biological and cultural domains. The most common methods are phylogenetic generalized linear (mixed) models, phylogenetic path analysis, Pagel's ‘discrete’ method and Ornstein–Uhlenbeck models. While some frameworks like generalized linear mixed models are quite
Erik J. Ringen, Scott Claessens, Jordan S. Martin, Adrian V. Jaeggi   +3 more
wiley   +1 more source

Joint Bayesian Hidden Markov Model With Subject-Specific Transitions for Wearable Sensor Data. [PDF]

Stat Med
Fei W, Miao Z, Xu T, Wang Y.
europepmc   +1 more source

Beyond the next step: A multi‐criteria generative validation framework for step selection functions

Methods in Ecology and Evolution, EarlyView.
Abstract Step‐selection functions (SSFs), typically fitted using step‐selection analysis (SSA) or integrated step‐selection analysis (iSSA) are widely used to infer habitat selection and movement kernels from high‐frequency telemetry data, but most standard validation tools focus on one‐step‐ahead prediction and do not guarantee that fitted models ...
Aurélien Nicosia
wiley   +1 more source

State-specific disruptions of dynamic functional connectivity in young migraine without aura: a hidden Markov model approach. [PDF]

Front Neurosci
Xu C, Zhan S, Tan W, Cheng JM, Gong S, Lu S, Wang H, Liu F, Jiang S, Wang W, Yang Y.   +10 more
europepmc   +1 more source