International audiencePreface This volume contains the articles from the second edition of the Workshop on Reproducible Research in Pattern Recognition that was held during August 20, 2018, in conjunction with ICPR 2018 in Beijing. It followed in the same spirit as the first edition with a special focus on digital geometry and mathematical morphology. It was intended as both a short participative course on reproducible research (RR) aspects leading to open discussions with the participants and also on how to actually perform RR. For this second edition, a new call for short papers was proposed to the ICPR authors. The main idea was to give authors of already accepted ICPR papers the possibility to highlight the reproducibility of their work...
How often have you been able to implement an algorithm as it is described in a paper? And when you d...
Machine Learning is becoming ubiquitous in many scientific domains. However, practitioners struggle ...
Reproducibility has become increasingly important for many research areas, among those IR is not an ...
International audiencePreface This volume contains the articles from the second edition of the Works...
This book contains the extended and revised versions of a set of selected papers from the 2nd Intern...
The book collects the extended versions of the best papers presented at the 6-th edition of the In...
This book includes the papers accepted for presentation at the 9th International Conference on Patte...
This book includes the papers accepted for presentation at the 10th International Conference on Patt...
This edited book includes extended and revised versions of a set of selected papers from the First I...
One of the challenges in machine learning research is to ensure that presented and published result...
International audienceOne of the challenges in machine learning research is to ensure that presented...
Papers presented at the conference and divided into two tracks: applications and theory and method
Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Pro...
This is talk presented in the IAA-CSIC Severo Ochoa SKA Open Science School held in Granada on 8th-1...
The International Conference on Pattern Recognition Applications and Methods would like to become a ...
How often have you been able to implement an algorithm as it is described in a paper? And when you d...
Machine Learning is becoming ubiquitous in many scientific domains. However, practitioners struggle ...
Reproducibility has become increasingly important for many research areas, among those IR is not an ...
International audiencePreface This volume contains the articles from the second edition of the Works...
This book contains the extended and revised versions of a set of selected papers from the 2nd Intern...
The book collects the extended versions of the best papers presented at the 6-th edition of the In...
This book includes the papers accepted for presentation at the 9th International Conference on Patte...
This book includes the papers accepted for presentation at the 10th International Conference on Patt...
This edited book includes extended and revised versions of a set of selected papers from the First I...
One of the challenges in machine learning research is to ensure that presented and published result...
International audienceOne of the challenges in machine learning research is to ensure that presented...
Papers presented at the conference and divided into two tracks: applications and theory and method
Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Pro...
This is talk presented in the IAA-CSIC Severo Ochoa SKA Open Science School held in Granada on 8th-1...
The International Conference on Pattern Recognition Applications and Methods would like to become a ...
How often have you been able to implement an algorithm as it is described in a paper? And when you d...
Machine Learning is becoming ubiquitous in many scientific domains. However, practitioners struggle ...
Reproducibility has become increasingly important for many research areas, among those IR is not an ...