Maria De Marsico – författare

Human Recognition in Unconstrained Environments provides a unique picture of the complete 'in-the-wild' biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents.

Coverage includes:

With this book readers will learn how to:

This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAM 2018, held in Porto, Portugal, in January 2018. The 10 full papers presented were carefully reviewed and selected from 102 initial submissions.

The core of ICPRAM  is intended to include theoretical studies yielding new insights in Pattern Recognition methods, as well as experimental validation and concrete application of Pattern Recognition techniques to real-world problems.

This book contains revised and extended versions of selected papers from the 9th International Conference on Pattern Recognition, ICPRAM 2020, held in Valletta, Malta, in February 2020. The 7 full papers presented were carefully reviewed and selected from 102 initial submissions. The papers describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and theoretical studies yielding new insights that advance pattern recognition methods are especially encouraged.

This book constitutes the thoroughly refereed and revised selected papers from the 12th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2023, held in Lisbon, Portugal, during February 22–24, 2023.

The 28 full papers and 42 short papers included in this book were carefully reviewed and selected from 157 submissions. They were organized in topical sections as follows: theory and methods and applications.

This book contains the extended and revised versions of a set of selected papers from the 2nd International Conference on Pattern Recognition (ICPRAM 2013), held in Barcelona, Spain, from 15 to 18 February, 2013. ICPRAM was organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and was held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI).

The hallmark of this conference was to encourage theory and practice to meet in a single venue.

The focus of the book is on contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods.

This book constitutes the thoroughly refereedpost-conference proceedings of the Third International Conference on PatternRecognition, ICPRAM 2014, held in Angers, France, in March 2014.

The 18 revised full papers were carefully reviewed andselected from 179 submissions and describe up-to-date applications of PatternRecognition techniques to real-world problems, interdisciplinary research,experimental and/or theoretical studies yielding new insights that advancePattern Recognition methods.

This book constitutes the thoroughly refereed post-conference proceedingsof the 4th International Conference on Pattern Recognition, ICPRAM 2015,held in Lisbon, Portugal, in January 2015.

The 20 revised full papers were carefully reviewed and selectedfrom 145 submissions and describe up-to-date applications of patternrecognition techniques to real-world problems, interdisciplinaryresearch, experimental and/or theoretical studies yielding new insightsthat advance pattern recognition methods.

This book contains revised and extended versions of selected papers from the 5th International Conference on Pattern Recognition, ICPRAM 2016, held in Rome, Italy, in February 2016.

The 13 full papers were carefully reviewed and selected from 125 initial submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.