 | 2009 |
|---|
| 8 |       | Peter Carbonetto,
Matthew King,
Firas Hamze:
A Stochastic approximation method for inference in probabilistic graphical models.
NIPS 2009: 216-224 |
| 2008 |
|---|
| 7 | | Peter Carbonetto,
Mark W. Schmidt,
Nando de Freitas:
An interior-point stochastic approximation method and an L1-regularized delta rule.
NIPS 2008: 233-240 |
| 6 | | Peter Carbonetto,
Gyuri Dorkó,
Cordelia Schmid,
Hendrik Kück,
Nando de Freitas:
Learning to Recognize Objects with Little Supervision.
International Journal of Computer Vision 77(1-3): 219-237 (2008) |
| 2006 |
|---|
| 5 | | Peter Carbonetto,
Nando de Freitas:
Conditional mean field.
NIPS 2006: 201-208 |
| 4 | | Peter Carbonetto,
Gyuri Dorkó,
Cordelia Schmid,
Hendrik Kück,
Nando de Freitas:
A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues.
Toward Category-Level Object Recognition 2006: 277-300 |
| 2005 |
|---|
| 3 | | Peter Carbonetto,
Jacek Kisynski,
Nando de Freitas,
David Poole:
Nonparametric Bayesian Logic.
UAI 2005: 85-93 |
| 2004 |
|---|
| 2 | | Peter Carbonetto,
Nando de Freitas,
Kobus Barnard:
A Statistical Model for General Contextual Object Recognition.
ECCV (1) 2004: 350-362 |
| 1 | | Hendrik Kück,
Peter Carbonetto,
Nando de Freitas:
A Constrained Semi-supervised Learning Approach to Data Association.
ECCV (3) 2004: 1-12 |
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