Nando de Freitas

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32EEJulia Vogel, Nando de Freitas: Target-directed attention: Sequential decision-making for gaze planning. ICRA 2008: 2372-2379
31EEPeter Carbonetto, Mark Schmidt, Nando de Freitas: An interior-point stochastic approximation method and an L1-regularized delta rule. NIPS 2008: 233-240
30EEPeter 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)
29EERuben 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
28EEEric Brochu, Nando de Freitas, Abhijeet Ghosh: Active Preference Learning with Discrete Choice Data. NIPS 2007
27EEMatthew Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra: Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS 2007
26EERuben 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
25EEYizheng Cai, Nando de Freitas, James J. Little: Robust Visual Tracking for Multiple Targets. ECCV (4) 2006: 107-118
24EEMike 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
23EEPeter Carbonetto, Nando de Freitas: Conditional mean field. NIPS 2006: 201-208
22EEPeter 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
21 Maryam Mahdaviani, Nando de Freitas, Bob Fraser, Firas Hamze: Fast Computational Methods for Visually Guided Robots. ICRA 2005: 138-143
20EENando de Freitas, Yang Wang, Maryam Mahdaviani, Dustin Lang: Fast Krylov Methods for N-Body Learning. NIPS 2005
19EEFiras Hamze, Nando de Freitas: Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs. NIPS 2005
18EEMike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI 2005: 308-315
17EENando de Freitas, Hendrik Kück: Learning about Individuals from Group Statistics. UAI 2005: 332-339
16EEPeter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole: Nonparametric Bayesian Logic. UAI 2005: 85-93
15EEKenji 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
14EEPeter Carbonetto, Nando de Freitas, Kobus Barnard: A Statistical Model for General Contextual Object Recognition. ECCV (1) 2004: 350-362
13EEHendrik Kück, Peter Carbonetto, Nando de Freitas: A Constrained Semi-supervised Learning Approach to Data Association. ECCV (3) 2004: 1-12
12EEDustin Lang, Nando de Freitas: Beat Tracking the Graphical Model Way. NIPS 2004
11EEFiras Hamze, Nando de Freitas: From Fields to Trees. UAI 2004: 243-250
10EEKobus 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)
8EERubén Morales-Menéndez, Nando de Freitas, David Poole: Real-Time Monitoring of Complex Industrial Processes with Particle Filters. NIPS 2002: 1433-1440
7EEEric Brochu, Nando de Freitas: "Name That Song!" A Probabilistic Approach to Querying on Music and Text. NIPS 2002: 1505-1512
6EEChristophe Andrieu, Nando de Freitas, Arnaud Doucet: Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567
5EENando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart J. Russell: Variational MCMC. UAI 2001: 120-127
4EEChristophe Andrieu, Nando de Freitas, Arnaud Doucet: Robust Full Bayesian Learning for Radial Basis Networks. Neural Computation 13(10): 2359-2407 (2001)
3 Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan: The Unscented Particle Filter. NIPS 2000: 584-590
2EEChristophe Andrieu, Nando de Freitas, Arnaud Doucet: Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI 2000: 11-18
1EEArnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183

Coauthor Index

1Christophe Andrieu [2] [4] [6] [9]
2Kobus Barnard [10] [14]
3David M. Blei [10]
4Mark Briers [24]
5Eric Brochu [7] [28]
6Yizheng Cai [25]
7Peter Carbonetto [13] [14] [16] [22] [23] [30] [31]
8José A. Castellanos [26] [29]
9Gyuri Dorkó [22] [30]
10Arnaud Doucet [1] [2] [3] [4] [6] [9] [18] [24] [26] [27]
11Pinar Duygulu [10]
12David A. Forsyth [10]
13Bob Fraser [21]
14Abhijeet Ghosh [28]
15Firas Hamze [11] [19] [21]
16Matthew Hoffman [27]
17Pedro A. d. F. R. Højen-Sørensen [5]
18Ajay Jasra [27]
19Michael I. Jordan [9] [10]
20Jacek Kisynski [16]
21Mike Klaas [18] [24]
22Hendrik Kück [13] [17] [22] [30]
23Dustin Lang [12] [20] [24]
24James J. Little [15] [25]
25David G. Lowe [15]
26Maryam Mahdaviani [20] [21]
27Ruben Martinez-Cantin [26] [29]
28Simon Maskell [24]
29Rudolph van der Merwe [3]
30Rubén Morales-Menéndez [8]
31Kevin P. Murphy [1]
32Kenji Okuma [15]
33David Poole [8] [16]
34Stuart J. Russell [1] [5]
35Cordelia Schmid [22] [30]
36Mark Schmidt [31]
37Ali Taleghani [15]
38Julia Vogel [32]
39Eric A. Wan [3]
40Yang Wang [20]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)