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Filters: Author is Tomaso A. Poggio [Clear All Filters]
A Deep Representation for Invariance and Music Classification. ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE, 2014). doi:10.1109/ICASSP.2014.6854954
The dynamics of invariant object recognition in the human visual system. J Neurophysiol 111, 91-102 (2014).
The dynamics of invariant object recognition in the human visual system. (2014). doi:http://dx.doi.org/10.7910/DVN/KRUPXZ
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. (2014). doi:10.1101/004473
CBMM Memo 004_new.pdf (2.25 MB)
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Learning An Invariant Speech Representation. (2014).
CBMM-Memo-022-1406.3884v1.pdf (1.81 MB)
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Learning invariant representations and applications to face verification. NIPS 2013 (Advances in Neural Information Processing Systems 26, 2014). at <http://nips.cc/Conferences/2013/Program/event.php?ID=4074>
Liao_Leibo_Poggio_NIPS_2013.pdf (687.06 KB)
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Neural tuning size is a key factor underlying holistic face processing. (2014).
CBMM-Memo-021-1406.3793.pdf (387.79 KB)
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Phone Classification by a Hierarchy of Invariant Representation Layers. INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association (International Speech Communication Association (ISCA), 2014). at <http://www.isca-speech.org/archive/interspeech_2014/i14_2346.html>
Representation Learning in Sensory Cortex: a theory. (2014).
CBMM-Memo-026_neuron_ver45.pdf (1.35 MB)
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Is Research in Intelligence an Existential Risk?. (2014).
Is Research in Intelligence an Existential Risk.pdf (571.42 KB)
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Subtasks of Unconstrained Face Recognition. (2014).
Leibo_Liao_Poggio_subtasks_VISAPP_2014.pdf (268.69 KB)
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The History of Neuroscience in Autobiography Volume 8 8, (Society for Neuroscience, 2014).
Volume Introduction and Preface (232.8 KB)
TomasoPoggio.pdf (1.43 MB)
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Unsupervised learning of clutter-resistant visual representations from natural videos. (2014).
1409.3879v2.pdf (3.64 MB)
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Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning?. (2014).
CBMM Memo No. 001 (940.36 KB)
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Word-level Invariant Representations From Acoustic Waveforms. INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association (International Speech Communication Association (ISCA), 2014). at <http://www.isca-speech.org/archive/interspeech_2014/i14_2385.html>
Empirical Inference 59 - 69 (Springer Berlin Heidelberg, 2013). doi:10.1007/978-3-642-41136-610.1007/978-3-642-41136-6_7
Author's Version (147.25 KB)
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NSF Science and Technology Centers – The Class of 2013. (2013).
NSFGender2013_poster.pdf (2.77 MB)
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Learning manifolds with k-means and k-flats. Advances in Neural Information Processing Systems 25 (NIPS 2012) (2012). at <https://papers.nips.cc/paper/2012/hash/b20bb95ab626d93fd976af958fbc61ba-Abstract.html>
A Large Video Database for Human Motion Recognition. (2011).
Kuehne_etal_ICCV2011.pdf (433.27 KB)
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