Biblio

2014
Liao Q., Leibo JZ., Mroueh Y., Poggio T..  2014.  Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
Poggio T, Mutch J, Isik L.  2014.  Computational role of eccentricity dependent cortical magnification..
Zhang C, Evangelopoulos G, Voines S, Rosasco L, Poggio T.  2014.  A Deep Representation for Invariance And Music Classification. ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing.
Poggio T, Leibo JZ, Meyers E, Isik L.  2014.  The dynamics of invariant object recognition in the human visual system. Journal of Neurophysiology. 111(1)
Leibo JZ., Liao Q., Anselmi F., Poggio T..  2014.  The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex.
Poggio T, Rosasco L, Zhang C, Voinea S, Evangelopoulos G.  2014.  Learning An Invariant Speech Representation.
Liao Q., Leibo JZ., Poggio T..  2014.  Learning invariant representations and applications to face verification. NIPS 2013.
Zhang C, Frogner C, Araya-Polo M, Hohl D.  2014.  Machine-learning Based Automated Fault Detection in Seismic Traces ∗. EAGE Conference and Exhibition 2014.
Poggio T, Tan C.  2014.  Neural tuning size is a key factor underlying holistic face processing..
Zhang C, Voinea S, Evangelopoulos G, Rosasco L, Poggio T.  2014.  Phone Classification by a Hierarchy of Invariant Representation Layers. INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association.
Anselmi F., Poggio T..  2014.  Representation Learning in Sensory Cortex: a theory.
Anselmi F, Poggio T.  2014.  Representation Learning in Sensory Cortex: a theory..

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