Previous Invited Speakers
The researchers below were distinguished invited speakers at previous ICPRAM conferences.
We are indebted to them for their contribution to heighten the conference level.
2016 | 2015 | 2014 | 2013 | 2012
Recent Progress in Biometrics Arun Ross, Michigan State University, United States Getting Lost in the Wealth of Classifier Ensembles? Ludmila Kuncheva, , United Kingdom Adversarial Pattern Recognition Fabio Roli, Università degli Studi di Cagliari, Italy Biosignal-based Cognitive Systems and Applications Tanja Schultz, Cognitive Systems Lab (CSL), University of Bremen, Germany
Place-based Information Systems - Textual Location Identification and VisualizationHanan Samet, University of Maryland, United States ThinkBIG - Understanding the Impact of Big Data on Science and SocietyNello Cristianini, University of Bristol, United Kingdom Towards a Holistic Theory of Pattern Recognition - A Game-theoretic Perspective Marcello Pelillo, University of Venice, Italy 3D Computer Vision - From Points to Concepts Luís Alexandre, UBI/IT, Portugal
Robust Face Recognition for Uncontrolled Settings Harry Wechsler, George Mason University, United States Classifier Incongruence Detection for Anomaly Flagging in Machine Perception Josef Kittler, University of Surrey, United Kingdom Efficient and Versatile 3D Laser Mapping for Challenging EnvironmentsRobert Zlot, CSIRO, Australia
Solving Perception Uncertainty Problems in Robotics Alberto Sanfeliu, Universitat Politècnica de Cataluyna, Spain The Computational Magic of Pattern Recognition in Cortex: A Theory of Selectivity and Invariance Tomaso Poggio, CBCL, McGovern Institute, Massachusetts Institute of Technology, United States Alternating Direction Optimization for Imaging and Machine Learning Problems Mário Figueiredo, Instituto de Telecomunicações and Instituto Superior Técnico, University of Lisbon, Portugal Digital Pathology Imaging – The Next Frontier in Medical Imaging Bikash Sabata, Ventana Medical Systems, United States
THE INTERPLAY OF STATISTICAL AND STRUCTURAL PATTERN RECOGNITION FROM A MACHINE LEARNING PERSPECTIVE Tiberio Caetano, NICTA and Australian National University, Australia STRUCTURED SPARSITY AND CONVEX OPTIMIZATION Francis Bach, Laboratoire d'Informatique de l'Ecole Normale Supérieure, Paris, France MEASURE OF STATISTICAL DEPENDENCE José C. Príncipe, University of Florida, United States CONTEXT SENSITIVE INFORMATION: MODEL VALIDATION BY INFORMATION THEORY Joachim M. Buhmann, ETH Zurich, Switzerland