03655nam 22006855 450 991101874750332120250728130258.0978303201773410.1007/978-3-032-01773-4(CKB)39766998600041(MiAaPQ)EBC32249070(Au-PeEL)EBL32249070(DE-He213)978-3-032-01773-4(OCoLC)1544963394(EXLCZ)993976699860004120250728d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierProgress in Pattern Classification and Machine Learning Proceedings of the 14th International Conference on Computer Recognition Systems 2025 /edited by Paweł Trajdos, Robert Burduk1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (173 pages)Lecture Notes in Networks and Systems,2367-3389 ;15579783032017727 -- 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.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.Lecture Notes in Networks and Systems,2367-3389 ;1557Computational intelligenceArtificial intelligencePattern recognition systemsSignal processingComputer visionComputational IntelligenceArtificial IntelligenceAutomated Pattern RecognitionDigital and Analog Signal ProcessingComputer VisionComputational intelligence.Artificial intelligence.Pattern recognition systems.Signal processing.Computer vision.Computational Intelligence.Artificial Intelligence.Automated Pattern Recognition.Digital and Analog Signal Processing.Computer Vision.006.3Trajdos Paweł1453544Burduk Robert1453539MiAaPQMiAaPQMiAaPQBOOK9911018747503321Progress in Pattern Classification and Machine Learning4414846UNINA