[Depko] Brain Machine Interfacing in action and perception

18. June   |  11:15 - 12:15

Category: DepKo

Prof. Dr. Jochem Rieger (Oldenburg University, Germany)
[more]

MiKo: Gabriel Marais

19. June   |   15:00 - 16:00

Category: MoKo/MiKo

Gabriel Marais, Laboratoire de Biométrie et Biologie Evolutive (UMR 5558), CNRS/Université Lyon 1, Villeurbanne, France

Y degeneration and X dosage compensation in a plant sex chromosome system
[more]

[ISCo]: Object Recognition by Hierarchical Learning Machines, Tomaso Poggio

24. June   |  11:15 - 12:30

Category: IS-Colloquium

Abstract: I will describe work in my group over the last 2 years developing a theory of visual cortex and of deep learning architectures of the convolutional type. I will describe the theoretical consequences of a simple assumption: the main computational goal of the feedforward path in the ventral stream – from V1, V2, V4 and to IT – is to discount image transformations, after learning them during development. The initial assumption is that a basic neural operation consists of dot products between input vectors and synaptic weights – which can be modified by learning. I will outline theorems showing that a multi-layer hierarchical architecture of dot-product modules can learn in an unsupervised way geometric transformations of images and then achieve the dual goals of invariance to global affine transformations and of robustness to deformations. These architectures develop to be automatically invariant to transformations of a new object, achieving the goal of recognition with very few labeled examples. The theory should apply to a range of hierarchical architectures such as HMAX, convolutional “deep learning” networks and related feedforward models of sensory systems and extend their power.
[more]

Page 1 of 4 1234  Next >