Results 31 to 40 of about 60,493 (305)
Recognition of Warping Face Image and Morphing Face Image of Two Warping Image Using Hidden Markov Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, using algorithm models of Hidden Markov models, it has been concluded that the possibility of recognizing the warp face and the morph face the image real departments face on recognizing object.
doaj +1 more source
Inferenza statistica per Hidden Markov Models [PDF]
, 2022 L’oggetto di questa tesi consiste nello studio degli Hidden Markov Models, processi doppiamente stocastici che possono essere definiti in diversi modi ma tutti con la caratteristica comune di presentare un processo di Markov a cui non si può accedere ...
Ruzza, Marco
core
Scoring hidden Markov models [PDF]
Bioinformatics, 1997 Statistical sequence comparison techniques, such as hidden Markov models and generalized profiles, calculate the probability that a sequence was generated by a given model. Log-odds scoring is a means of evaluating this probability by comparing it to a null hypothesis, usually a simpler statistical model intended to represent the universe of sequences ...
Christian Barrett +2 more
openaire +2 more sources
An agent-based implementation of hidden Markov models for gas turbine condition monitoring
, 2014 This paper considers the use of a multi-agent system (MAS) incorporating hidden Markov models (HMMs) for the condition monitoring of gas turbine (GT) engines.
Twiddle, John +3 more
core +1 more source
Hidden Markov models for stochastic thermodynamics
New Journal of Physics, 2015 The formalism of state estimation and hidden Markov models can simplify and clarify the discussion of stochastic thermodynamics in the presence of feedback and measurement errors.
John Bechhoefer
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Inverse Design of Amorphous Materials With Targeted Properties
Advanced Materials, EarlyView.AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Robot introspection through learned hidden Markov models
, 2006 In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behavioural models to provide a robot with an introspective capability.
Maria Fox +11 more
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Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Jinchang Ren +11 more
core +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source