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Nando de Freitas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yizheng Cai, Nando de Freitas, James J. Little
    Robust Visual Tracking for Multiple Targets. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2006, pp:107-118 [Conf]
  2. Peter Carbonetto, Nando de Freitas, Kobus Barnard
    A Statistical Model for General Contextual Object Recognition. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:350-362 [Conf]
  3. Hendrik Kück, Peter Carbonetto, Nando de Freitas
    A Constrained Semi-supervised Learning Approach to Data Association. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2004, pp:1-12 [Conf]
  4. Kenji Okuma, Ali Taleghani, Nando de Freitas, James J. Little, David G. Lowe
    A Boosted Particle Filter: Multitarget Detection and Tracking. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:28-39 [Conf]
  5. Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang
    Fast particle smoothing: if I had a million particles. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:481-488 [Conf]
  6. Christophe Andrieu, Nando de Freitas, Arnaud Doucet
    Rao-Blackwellised Particle Filtering via Data Augmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:561-567 [Conf]
  7. Eric Brochu, Nando de Freitas
    "Name That Song!" A Probabilistic Approach to Querying on Music and Text. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1505-1512 [Conf]
  8. Nando de Freitas, Yang Wang, Maryam Mahdaviani, Dustin Lang
    Fast Krylov Methods for N-Body Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  9. Firas Hamze, Nando de Freitas
    Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  10. Dustin Lang, Nando de Freitas
    Beat Tracking the Graphical Model Way. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  11. Rubén Morales-Menéndez, Nando de Freitas, David Poole
    Real-Time Monitoring of Complex Industrial Processes with Particle Filters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1433-1440 [Conf]
  12. Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan
    The Unscented Particle Filter. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:584-590 [Conf]
  13. Christophe Andrieu, Nando de Freitas, Arnaud Doucet
    Reversible Jump MCMC Simulated Annealing for Neural Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:11-18 [Conf]
  14. Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell
    Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:176-183 [Conf]
  15. Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart J. Russell
    Variational MCMC. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:120-127 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    Toward Category-Level Object Recognition, 2006, pp:277-300 [Conf]
  17. Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan
    Matching Words and Pictures. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1107-1135 [Journal]
  18. Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan
    An Introduction to MCMC for Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:50, n:1-2, pp:5-43 [Journal]
  19. Christophe Andrieu, Nando de Freitas, Arnaud Doucet
    Robust Full Bayesian Learning for Radial Basis Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:10, pp:2359-2407 [Journal]
  20. 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. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2415-2420 [Conf]
  21. Maryam Mahdaviani, Nando de Freitas, Bob Fraser, Firas Hamze
    Fast Computational Methods for Visually Guided Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:138-143 [Conf]
  22. Peter Carbonetto, Nando de Freitas
    Conditional mean field. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:201-208 [Conf]
  23. Nando de Freitas, Hendrik Kück
    Learning about Individuals from Group Statistics. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:332-339 [Conf]
  24. Firas Hamze, Nando de Freitas
    From Fields to Trees. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:243-250 [Conf]
  25. Mike Klaas, Nando de Freitas, Arnaud Doucet
    Toward Practical N2 Monte Carlo: the Marginal Particle Filter. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:308-315 [Conf]
  26. Peter Carbonetto, Jacek Kisynski, Nando de Freitas, David Poole
    Nonparametric Bayesian Logic. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:85-93 [Conf]

  27. Inference and Learning for Active Sensing, Experimental Design and Control. [Citation Graph (, )][DBLP]


  28. Target-directed attention: Sequential decision-making for gaze planning. [Citation Graph (, )][DBLP]


  29. Active Preference Learning with Discrete Choice Data. [Citation Graph (, )][DBLP]


  30. Bayesian Policy Learning with Trans-Dimensional MCMC. [Citation Graph (, )][DBLP]


  31. An interior-point stochastic approximation method and an L1-regularized delta rule. [Citation Graph (, )][DBLP]


  32. Active Policy Learning for Robot Planning and Exploration under Uncertainty. [Citation Graph (, )][DBLP]


  33. A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot. [Citation Graph (, )][DBLP]


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