| 2008 |
|---|
| 7 | EE | Marc'Aurelio Ranzato,
Martin Szummer:
Semi-supervised learning of compact document representations with deep networks.
ICML 2008: 792-799 |
| 2007 |
|---|
| 6 | EE | Marc'Aurelio Ranzato,
Fu Jie Huang,
Y-Lan Boureau,
Yann LeCun:
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition.
CVPR 2007 |
| 5 | EE | Marc'Aurelio Ranzato,
Yann LeCun:
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images.
ICDAR 2007: 1213-1217 |
| 4 | EE | Yann LeCun,
Sumit Chopra,
Marc'Aurelio Ranzato,
Fu Jie Huang:
Energy-Based Models in Document Recognition and Computer Vision.
ICDAR 2007: 337-341 |
| 3 | EE | Marc'Aurelio Ranzato,
Y-Lan Boureau,
Yann LeCun:
Sparse Feature Learning for Deep Belief Networks.
NIPS 2007 |
| 2 | EE | Marc'Aurelio Ranzato,
P. E. Taylor,
J. M. House,
R. C. Flagan,
Yann LeCun,
Pietro Perona:
Automatic recognition of biological particles in microscopic images.
Pattern Recognition Letters 28(1): 31-39 (2007) |
| 2006 |
|---|
| 1 | EE | Marc'Aurelio Ranzato,
Christopher S. Poultney,
Sumit Chopra,
Yann LeCun:
Efficient Learning of Sparse Representations with an Energy-Based Model.
NIPS 2006: 1137-1144 |
