Petia Georgieva - Böcker
Visar alla böcker från författaren Petia Georgieva. Handla med fri frakt och snabb leverans.
3 produkter
3 produkter
Del 13256 - Lecture Notes in Computer Science
Pattern Recognition and Image Analysis
10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4–6, 2022, Proceedings
Häftad, Engelska, 2022
1 034 kr
Skickas inom 10-15 vardagar
This book constitutes the refereed proceedings of the 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022, held in Aveiro, Portugal, in May 2022. The 54 papers accepted for these proceedings were carefully reviewed and selected from 72 submissions. pattern recognition and machine learning;
Del 410 - Studies in Computational Intelligence
Advances in Intelligent Signal Processing and Data Mining
Theory and Applications
Inbunden, Engelska, 2012
1 625 kr
Skickas inom 10-15 vardagar
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.
Del 410 - Studies in Computational Intelligence
Advances in Intelligent Signal Processing and Data Mining
Theory and Applications
Häftad, Engelska, 2014
1 578 kr
Skickas inom 10-15 vardagar
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.