Vai al contenuto principale della pagina

Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025 / / edited by Paweł Trajdos, Robert Burduk



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Trajdos Paweł Visualizza persona
Titolo: Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025 / / edited by Paweł Trajdos, Robert Burduk Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (173 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Artificial intelligence
Pattern recognition systems
Signal processing
Computer vision
Computational Intelligence
Artificial Intelligence
Automated Pattern Recognition
Digital and Analog Signal Processing
Computer Vision
Altri autori: BurdukRobert  
Nota di contenuto: -- Suggested Future Trends in Computer-Aided Recognition Methods and Problems -- Formal foundations of vague language transduction for syntactic pattern recognition -- A Target-Oriented Image Fusion Method for Quality Inspection of Heat-Sealed Packages -- Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection, etc.
Sommario/riassunto: This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition. The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.
Titolo autorizzato: Progress in Pattern Classification and Machine Learning  Visualizza cluster
ISBN: 9783032017734
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911018747503321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilitĂ  qui
Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1557