1. Title: Biomedical Imaging - Challenges and Potentials

    Keynote Lecturer: Xiaoyi Jiang
    Presented on: 18/01/2018, Funchal, Madeira, Portugal

    Abstract: Imaging has become an indispensable tool in biology and medicine for both basic research and clinical practice. The specific image characteristics and problems in these fields have motivated researchers to develop novel concepts and algorithms. This talk emphasizes the fundamental research view of biomedical imaging and discusses a number of related challenges, concepts, and algorithms. In addition to the traditional computer vision approaches, another focus will be given to machine learning based approaches. In particular, Barista (an open-source graphical high-level interface for the Caffe deep learning framework) and its application to biomedical imaging will be presented. Besides the information processing view the imposing development in biomedical imaging also provides a driving force for life sciences from a Galisonian perspective.

    Event's Website: icpram.org/

    Presented at the following Event:
    ICPRAM, 7th International Conference on Pattern Recognition Applications and Methods

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  2. Title: The General Data Protection Regulations (GDPR) and Technology Driven Privacy by Design Viewed Through the Use Cases of the H2020 SpeechXrays Project

    EPS Co-chairs:
    Dijana Petrovska-Delacrétaz
    Jean-Loup Dépinay

    Participants:
    Gérard Chollet
    Jaap van den Herik

    Event's Websites:
    icaart.org/
    icpram.org/

    Presented at the following Events:
    ICAART, 10th International Conference on Agents and Artificial Intelligence
    ICPRAM, 7th International Conference on Pattern Recognition Applications and Methods

    # vimeo.com/268560761 Uploaded 0 Plays 0 Comments
  3. Title: Human Behaviour Understanding for Automotive and Surveillance

    Keynote Lecturer: Rita Cucchiara
    Presented on: 16/01/2018, Funchal, Madeira, Portugal

    Abstract: Human behavior understanding (HBU) is a central topic for many different disciplines, from sociology, psychology to, more recently computer science. In this latter framework, Computer Vision and Pattern Recognition are strategic: advancements in motion analysis and interpretation, 2D and 3D video analysis and, obviously, deep learning make computer vision research in HBU a true success story.The talk will focus on HBU for two very related contexts. The first is automotive, a key application area nowadays, due to the fact that cameras are considered mandatory sensing components in cars to support assisted or automatic guidance, to improve the safety and comfort of drivers and passengers. HBU is needed inside and outside the car: to understand what the driver is doing, what he/she can do to drive better and what people around the car are doing. The second is surveillance where the study of human presence and activity has a long tradition. Here the analysis of behaviour of pedestrian, groups of people and crowd is based on computer vision: it now achieves unbelievable results due to the presence of annotated datasets and deep solutions. Surveillance and automotive are becoming always more connected in smart cities environments.In the talk, I will present an overview of recent research centred on humans in video acquired by the city or the car point of view. The talk will discuss the milestones of this research, the improvements and changes in effort due to deep machine learning approaches and the available annotated big data. Then I will present our research project at Imagelab on persons under surveillance systems and on persons in Human-Vehicle-Interaction applications. These solutions are mostly based on 3D information, saliency analysis and video segmentation and ground on extensive use of deep networks technology. I will discuss deep architectures we propose for understanding person presence, person behaviour and person interaction.

    Event's Website: icpram.org/

    Presented at the following Event:
    ICPRAM, 7th International Conference on Pattern Recognition Applications and Methods

    # vimeo.com/262805561 Uploaded 0 Plays 0 Comments
  4. Title: Time Evolving Networks in Finance and Medicine

    Keynote Lecturer: Edwin Hancock
    Presented on: 17/01/2018, Funchal, Madeira, Portugal

    Abstract: This talk focusses on how to use network entropy as a means of characterising network structure and investigating the relationship between changes in network structure and function with time. Examples are presented on network data extracted from the data for the New York Stock Exchange. We show how the entropic characterisation can be extended to develop Euler- Lagrange equations which describe the evolution of the node degree distribution, and can be used to predict the evolution of network structure with time. If time permits, we will also describe how to extend our model to include quantum spin statistics, and explore how Bose-Einstein and Fermi-Dirac statistics modify the evolution of network structure. We demonstrate some of the utility of the proposed methods on fMRI images of Alzheimer brains.

    Event's Website: icpram.org/

    Presented at the following Event:
    ICPRAM, 7th International Conference on Pattern Recognition Applications and Methods

    # vimeo.com/262399658 Uploaded 2 Plays 0 Comments
  5. Title: On Location and Registration Fiducials - Their Analysis and Design

    Keynote Lecturer: Alfred Bruckstein
    Presented on: 18/01/2018, Funchal, Madeira, Portugal

    Abstract: A location/registration fiducial is a shape or pattern designed to provide, via a sensing or imaging device (usually a camera), information about the absolute or relative location of objects in space. This talk will discuss methods for the design of such fiducials, and ways to mathematically analyze and predict the localization performance obtained when sensing them.

    Event's Website: icpram.org/

    Presented at the following Event:
    ICPRAM, 7th International Conference on Pattern Recognition Applications and Methods

    # vimeo.com/262381770 Uploaded 1 Play 0 Comments

ICPRAM

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The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.
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The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.
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 are especially encouraged.

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