Gutscheinbedingungen

**Gültig vom 15.06.2026 bis 17.06.2026 | Gültig für nicht preisgebundene fremdsprachige Bücher | Einzelne Artikel können ausgeschlossen sein | Maximaler rabattfähiger Warenkorbwert 500 € | Nicht kombinierbar mit weiteren Aktionen | Nur einmal pro Person einlösbar | Nur solange der Vorrat reicht

Produktbild: Hidden Markov Models and Applications
- 12%

Hidden Markov Models and Applications

12% sparen

121,99 € UVP 139,09 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.05.2023

Herausgeber

Nizar Bouguila + weitere

Verlag

Springer

Seitenzahl

298

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

526 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-030-99144-9

Beschreibung

Portrait

Nizar Bouguila received the engineer degree from the University of Tunis, Tunis, Tunisia, in 2000, and the M.Sc. and Ph.D. degrees in computer science from Sherbrooke University, Sherbrooke, QC, Canada, in 2002 and 2006, respectively. He is currently a Professor with the Concordia Institute for Information Systems Engineering (CIISE) at Concordia University, Montreal, Quebec, Canada. His research interests include image processing, machine learning, data mining,, computer vision, and pattern recognition. Prof. Bouguila received the best Ph.D Thesis Award in Engineering and Natural Sciences from Sherbrooke University in 2007. He was awarded the prestigious Prix d’excellence de l’association des doyens des etudes superieures au Quebec (best Ph.D Thesis Award in Engineering and Natural Sciences in Quebec), and was a runner-up for the prestigious NSERC doctoral prize. He was the holder of a Concordia University research Chair Tier 2 from 2014 to 2019 and was named Concordia University research Fellow in 2020. He is the author or co-author of more than 400 publications in several prestigious journals and conferences. He is a regular reviewer for many international journals and serving as associate editor for several journals such as Pattern Recognition journal and Engineering Applications of Artificial Intelligence, etc. Dr. Bouguila is a licensed Professional Engineer registered in Ontario, and a Senior Member of the IEEE.  

Wentao Fan received his M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Concordia University, Montreal, Quebec, Canada, in 2009 and 2014, respectively. He is currently a Professor in the Department of Computer Science and Technology, Huaqiao University, Xiamen, China. His research interests include machine learning, computer vision, deep learning and pattern recognition. 

Manar Amayri received the bachelor's degree in power engineering from Damascus University, Damascus, Syria, in 2006, the master's degree in electrical power systems from the Power Department, Damascus University, in 2014, the master's degree in smart grids and buildings from ENES3, INP-Grenoble (Institute National Polytechnique de Grenoble), Grenoble, France, in 2014, and the Ph.D. degree in energy smart-buildings from Grenoble Institute of Technology, Grenoble, in 2017. She was a Post-Doctoral Researcher with INP- Grenoble and then Concordia University, Montreal, QC, Canada, from 2017 to 2020. She is currently an Associate Professor with ENES3, INP-Grenoble, G-SCOP Laboratory (Sciences pour la conception, l’Optimisation et la Production). Her research interests include data mining, machine learning, explainable artificial intelligence (AI), energy, and smart buildings. 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.05.2023

Herausgeber

Verlag

Springer

Seitenzahl

298

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

526 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-030-99144-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern

  • Produktbild: Hidden Markov Models and Applications
  • Chapter1. A Roadmap to Hidden Markov Models and A Review of its Application in Occupancy Estimation.- Chapter2. Bounded asymmetric Gaussian mixture-based hidden Markov models.- Chapter3. Using HMM to model neural dynamics and decode useful signals for neuroprosthetic control.- Chapter4. Fire Detection in Images with Discrete Hidden Markov Models.- Chapter5. Hidden Markov Models: Discrete Feature Selection in Activity Recognition.- Chapter6. Bayesian Inference of Hidden Markov Models using Dirichlet Mixtures.- Chapter7. Online learning of Inverted Beta-Liouville HMMs for Anomaly Detection in Crowd Scenes.- Chapter8. A Novel Continuous Hidden Markov Model for Modeling Positive Sequential Data.- Chapter9. Multivariate Beta-based Hidden Markov Models Applied to Human Activity Recognition.- Chapter10. Multivariate Beta-based Hierarchical Dirichlet Process Hidden Markov Models in Medical Applications.- Chapter11. Shifted-Scaled Dirichlet Based Hierarchical Dirichlet Process Hidden Markov Models with Variational Inference Learning.