Biblio

2013
Liao Q, Leibo JZ, Mroueh Y, Poggio T.  2013.  Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
Ni Y, Frogner C, Poggio T.  2013.  Computer Science and Artificial Intelligence Laboratory Technical Report.
Kim H, Wohlwend J, Leibo JZ, Poggio T.  2013.  Computer Science and Artificial Intelligence Laboratory Technical Report.
Poggio T, Mutch J, Anselmi F, tacchetti A, Rosasco L, Leibo JZ.  2013.  Does invariant recognition predict tuning of neurons in sensory cortex?
Tan C, Poggio T.  2013.  Faces as a "Model Category" for Visual Object Recognition.
tacchetti A, Mallapragada P, Santoro M, Rosasco L.  2013.  GURLS: a Least Squares Library for Supervised Learning.
Villa S, Rosasco L, Poggio T.  2013.  On Learnability, Complexity and Stability.
Liao Q, Leibo JZ, Poggio T.  2013.  Learning invariant representations and applications to face verification.
Poggio T, Serre T.  2013.  Models of visual cortex.
Meyers E.  2013.  The neural decoding toolbox.
Mroueh Y, Rosasco L.  2013.  q-ary Compressive Sensing.
Anselmi F, Leibo JZ, Rosasco L, Mutch J, tacchetti A, Poggio T.  2013.  Unsupervised Learning of Invariant Representations in Hierarchical Architectures.
Anselmi F, Leibo JZ, Rosasco L, Mutch J, tacchetti A, Poggio T.  2013.  Unsupervised Learning of Invariant Representations in Hierarchical Architectures.
Poggio T, Ullman S.  2013.  Vision: are models of object recognition catching up with the brain?

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