Keynote Addresses

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Mario A.T. Figueiredo (IST Lisbon, Portugal)
    “Algorithms for Signal Reconstruction and Learning under Sparsity and Structured Sparsity Regularization”

Lars-Kai Hansen (DTU, Denmark)
    “Attention as a Machine Learning Problem”

Shigeru Katagiri (Doshisha University, Japan)
    “Minimum Classification Error vs. Maximum Margin: How Should We Penalize Unseen Samples?”

Susana Martínez-Conde and Stephen L. Macknik (Barrow Neurological Inst., USA)
    “Slights of Mind: What the Neuroscience of Magic Reveals About Our Brains”

Jose M. F. Moura (Carnegie-Mellon University, USA)
    “Distributed vs. Centralized: The Role of the Network”

IAPR Invited Lecture

Massimiliano Pontil (University College London, UK)
    “Transfer Learning in a Heterogeneous Environment”

Lior Rokach (Ben Gurion University, Israel)
    “Reverse Engineering of Integrated Circuits Using Machine Learning”