Autonomous Systems
 

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Machine Learning for Robotics Reading Group


The reading group is held on Thursdays, at 3pm, on level 2 (Rose St Building, J04). Anybody interested is welcome! Please ring Ben's extension 67057 and he'll buzz you in.

Past Papers:

POMDPs
Representing and Solving Decision Problems with Limited Information by Lauritzen and Nilsson (2001)
Perseus: Randomized Point-based Value Iteration for POMDPs by Spaan and Vlassis (2005)
Optimal Policies for POMDPs by Cassandra (1994)
Finding Approx POMDP Through Belief Compression by Roy et al. (2004)

Dimensionality Reduction, Visual Modelling, and Tracking
Incremental Learning for Visual Tracking by Lim et al. (2004)
Robust Online Appearance Models for Visual Tracking by Jepson et al. (2001)

Dynamic Bayesian Networks, Particle Filters, and Mapping
FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges by Montemerlo et al. (2003)
Toward Practical N^2 Monte Carlo: the Marginal Particle Filter by Klaas et al. (2005)
Continuous Time Particle Filtering by Ng et al. (2005)
Learning and Inferring Transportation Routines by Liao et al. (2004)
The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach by Stewart et al. (2003)
Rao Blackwellised Particle Filtering for Dynamic Bayesian Networks by Murphy and Russell (2001)
Robotic Mapping with Polygonal Random Fields by Paskin and Thrun (2005)

Variational Methods
Propagation Algorithms for Variational Bayesian Learning by Beal et al. (2000)
An Introduction to Variational Methods for Graphical Models by Jordan et al. (1998)
Detecting Image Near-Duplicate by Stochastic Attributed Relational Graph Matching with Learning by Zhang et al. (2004)

Statistical Relational Models
Relational Object Maps for Mobile Robots by Limketkai et al. (2005)
BLOG: Relational Modelling with Unknown Objects by Milch et al. (2004)
Probabilistic Models for Relational Data by Heckerman et al. (2004)
Dynamic Probabilistic Relational Models by Sanghai et al. (2003)

Gaussian Processes
Efficient implementation of Gaussian processes by Gibbs, M. N. and MacKay, D. J. C. (1997)
Gaussian Processes for Active Data Mining of Spatial Aggregates by Ramakrishnan et al. (2005)

Conditional random fields, boosting, and belief propogation
Robust Real-time Face Detection by P. Viola and M. Jones (2004)
Contextual models for object detection using boosted random fields by Torralba et al. (2004)


Additional resources can be found here.