All Publications

2014

CBMM Memo No.
022
G. Evangelopoulos, Voinea, S., Zhang, C., Rosasco, L., and Poggio, T., “Learning An Invariant Speech Representation”. 2014.PDF icon CBMM-Memo-022-1406.3884v1.pdf (1.81 MB)
CBMM Funded
CBMM Memo No.
021
C. Tan and Poggio, T., “Neural tuning size is a key factor underlying holistic face processing.”. 2014.PDF icon CBMM-Memo-021-1406.3793.pdf (387.79 KB)
CBMM Funded
CBMM Memo No.
020
R. Mottaghi, Fidler, S., Yuille, A., Urtasun, R., and Parikh, D., “Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding.”. 2014.PDF icon CBMM-Memo-020.pdf (1.89 MB)
CBMM Related
CBMM Memo No.
018
W. Lu, Lian, X., and Yuille, A., “Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency.”. 2014.PDF icon CBMM-Memo-018_opt.pdf (5.02 MB)
CBMM Funded
CBMM Memo No.
017
T. Poggio, Mutch, J., and Isik, L., “Computational role of eccentricity dependent cortical magnification.”. 2014.PDF icon CBMM-Memo-017.pdf (1.04 MB)
CBMM Funded
CBMM Memo No.
015
X. Chen, Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., and Yuille, A., “Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts.”. 2014.PDF icon CBMM-Memo-015.pdf (974.07 KB)
CBMM Funded
CBMM Memo No.
014
Y. Li, Koch, C., Rehg, J. M., and Yuille, A., “The Secrets of Salient Object Segmentation.”. 2014.PDF icon CBMM-Memo-014.pdf (1.59 MB)
CBMM Funded
CBMM Memo No.
013
C. Wang, Wang, Y., Lin, Z., Yuille, A., and Gao, W., “Robust Estimation of 3D Human Poses from a Single Image.”. 2014.PDF icon CBMM-Memo-013.pdf (510.23 KB)
CBMM Funded
C. Zhang, Frogner, C., Araya-Polo, M., and Hohl, D., “Machine Learning Based Automated Fault Detection in Seismic Traces”, in EAGE Conference and Exhibition 2014, The Netherlands, 2014.
CBMM Related
C. Zhang, Evangelopoulos, G., Voinea, S., Rosasco, L., and Poggio, T., “A Deep Representation for Invariance and Music Classification”, in ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, 2014.
CBMM Funded
CBMM Memo No.
004
J. Z. Leibo, Liao, Q., Anselmi, F., and Poggio, T., “The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex”. 2014.PDF icon CBMM Memo 004_new.pdf (2.25 MB)
CBMM Funded
D. Baldauf and Desimone, R., “Neural Mechanisms of Object-Based Attention”, Science, vol. 344, no. 6182, pp. 424 - 427, 2014.
CBMM Funded
CBMM Memo No.
003
Q. Liao, Leibo, J. Z., Mroueh, Y., and Poggio, T., “Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?”. 2014.PDF icon CBMM-Memo-003.pdf (963.66 KB)
CBMM Funded
CBMM Memo No.
002
C. Zhang, Evangelopoulos, G., Voinea, S., Rosasco, L., and Poggio, T., “A Deep Representation for Invariance And Music Classification”. 2014.PDF icon CBMM-Memo-002.pdf (1.63 MB)
CBMM Funded
CBMM Memo No.
001
F. Anselmi, Leibo, J. Z., Rosasco, L., Mutch, J., Tacchetti, A., and Poggio, T., “Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning?”. 2014.PDF icon CBMM Memo No. 001 (940.36 KB)
CBMM Funded
Q. Liao, Leibo, J. Z., and Poggio, T., “Learning invariant representations and applications to face verification”, in NIPS 2013, Lake Tahoe, Nevada, 2014.PDF icon Liao_Leibo_Poggio_NIPS_2013.pdf (687.06 KB)
CBMM Funded
L. Isik, Meyers, E., Leibo, J. Z., and Poggio, T., “The dynamics of invariant object recognition in the human visual system.”, J Neurophysiol, vol. 111, no. 1, pp. 91-102, 2014.
CBMM Related
L. Isik, Meyers, E., Leibo, J. Z., and Poggio, T., “The dynamics of invariant object recognition in the human visual system.”. 2014.
CBMM Related
J. Z. Leibo, Liao, Q., and Poggio, T., “Subtasks of Unconstrained Face Recognition”. 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. (VISAPP)., Lisbon, Portugal, 2014.PDF icon Leibo_Liao_Poggio_subtasks_VISAPP_2014.pdf (268.69 KB)
CBMM Funded
J. Z. Leibo, Liao, Q., and Poggio, T., “Subtasks of unconstrained face recognition”. 2014.
CBMM Funded
M. Stern, Sompolinsky, H., and Abbott, L. F., “Dynamics of random neural networks with bistable units.”, Phys Rev E Stat Nonlin Soft Matter Phys, vol. 90, no. 6, 2014.
CBMM Related
S. Voinea, Zhang, C., Evangelopoulos, G., Rosasco, L., and Poggio, T., “Word-level Invariant Representations From Acoustic Waveforms”, in INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association, Singapore, 2014.
CBMM Funded
C. Zhang, Voinea, S., Evangelopoulos, G., Rosasco, L., and Poggio, T., “Phone Classification by a Hierarchy of Invariant Representation Layers”, in INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association, Singapore, 2014.
CBMM Funded
D. Krompaß, Nickel, M., and Tresp, V., “Querying Factorized Probabilistic Triple Databases”, in The Semantic Web – ISWC 2014, vol. 8797, Springer International Publishing, 2014, pp. 114-129.
CBMM Funded
M. Nickel, Jiang, X., and Tresp, V., “Reducing the Rank in Relational Factorization Models by Including Observable Patterns”, in Advances in Neural Information Processing Systems 27, Curran Associates, Inc., 2014, pp. 1179–1187.
CBMM Funded

Pages