2008 | ||
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32 | EE | Julia Vogel, Nando de Freitas: Target-directed attention: Sequential decision-making for gaze planning. ICRA 2008: 2372-2379 |
31 | EE | Peter Carbonetto, Mark Schmidt, Nando de Freitas: An interior-point stochastic approximation method and an L1-regularized delta rule. NIPS 2008: 233-240 |
30 | EE | 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) |
2007 | ||
29 | EE | Ruben Martinez-Cantin, Nando de Freitas, José A. Castellanos: Analysis of Particle Methods for Simultaneous Robot Localization and Mapping and a New Algorithm: Marginal-SLAM. ICRA 2007: 2415-2420 |
28 | EE | Eric Brochu, Nando de Freitas, Abhijeet Ghosh: Active Preference Learning with Discrete Choice Data. NIPS 2007 |
27 | EE | Matthew Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra: Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS 2007 |
26 | EE | Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet, José A. Castellanos: Active Policy Learning for Robot Planning and Exploration under Uncertainty. Robotics: Science and Systems 2007 |
2006 | ||
25 | EE | Yizheng Cai, Nando de Freitas, James J. Little: Robust Visual Tracking for Multiple Targets. ECCV (4) 2006: 107-118 |
24 | EE | Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang: Fast particle smoothing: if I had a million particles. ICML 2006: 481-488 |
23 | EE | Peter Carbonetto, Nando de Freitas: Conditional mean field. NIPS 2006: 201-208 |
22 | EE | 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 | ||
21 | Maryam Mahdaviani, Nando de Freitas, Bob Fraser, Firas Hamze: Fast Computational Methods for Visually Guided Robots. ICRA 2005: 138-143 | |
20 | EE | Nando de Freitas, Yang Wang, Maryam Mahdaviani, Dustin Lang: Fast Krylov Methods for N-Body Learning. NIPS 2005 |
19 | EE | Firas Hamze, Nando de Freitas: Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs. NIPS 2005 |
18 | EE | Mike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI 2005: 308-315 |
17 | EE | Nando de Freitas, Hendrik Kück: Learning about Individuals from Group Statistics. UAI 2005: 332-339 |
16 | EE | Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole: Nonparametric Bayesian Logic. UAI 2005: 85-93 |
2004 | ||
15 | EE | Kenji Okuma, Ali Taleghani, Nando de Freitas, James J. Little, David G. Lowe: A Boosted Particle Filter: Multitarget Detection and Tracking. ECCV (1) 2004: 28-39 |
14 | EE | Peter Carbonetto, Nando de Freitas, Kobus Barnard: A Statistical Model for General Contextual Object Recognition. ECCV (1) 2004: 350-362 |
13 | EE | Hendrik Kück, Peter Carbonetto, Nando de Freitas: A Constrained Semi-supervised Learning Approach to Data Association. ECCV (3) 2004: 1-12 |
12 | EE | Dustin Lang, Nando de Freitas: Beat Tracking the Graphical Model Way. NIPS 2004 |
11 | EE | Firas Hamze, Nando de Freitas: From Fields to Trees. UAI 2004: 243-250 |
2003 | ||
10 | EE | Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan: Matching Words and Pictures. Journal of Machine Learning Research 3: 1107-1135 (2003) |
9 | Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan: An Introduction to MCMC for Machine Learning. Machine Learning 50(1-2): 5-43 (2003) | |
2002 | ||
8 | EE | Rubén Morales-Menéndez, Nando de Freitas, David Poole: Real-Time Monitoring of Complex Industrial Processes with Particle Filters. NIPS 2002: 1433-1440 |
7 | EE | Eric Brochu, Nando de Freitas: "Name That Song!" A Probabilistic Approach to Querying on Music and Text. NIPS 2002: 1505-1512 |
2001 | ||
6 | EE | Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567 |
5 | EE | Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart J. Russell: Variational MCMC. UAI 2001: 120-127 |
4 | EE | Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Robust Full Bayesian Learning for Radial Basis Networks. Neural Computation 13(10): 2359-2407 (2001) |
2000 | ||
3 | Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan: The Unscented Particle Filter. NIPS 2000: 584-590 | |
2 | EE | Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI 2000: 11-18 |
1 | EE | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183 |