About
Learning from Multiple Sources with Applications to Robotics
Learning from multiple sources denotes the problem of jointly learning from a set of (partially) related learning problems / views / tasks. This general concept underlies several subfields receiving increasing interest from the machine learning community, which differ in terms of the assumptions made about the dependency structure between learning problems. In particular, the concept includes topics such as data fusion, transfer learning, multitask learning, multiview learning, and learning under covariate shift. Several approaches for inferring and exploiting complex relationships between data sources have been presented, including both generative and discriminative approaches.
The workshop will provide a unified forum for cutting edge research on learning from multiple sources; the workshop will examine the general concept, theory and methods, and will also examine robotics as a natural application domain for learning from multiple sources. The workshop will address methodological challenges in the different subtopics and further interaction between them. The intended audience is researchers working in fields of multi-modal learning, data fusion, and robotics.
The Workshop homepage can be found at http://www.dcs.gla.ac.uk/~srogers/lms09/index.htm
Videos

Information Theoretic Kernel Integration
Jan 19, 2010
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3582 views

Multi-Way, Multi-View Learning
Jan 19, 2010
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4782 views

Where's What? - Towards Semantic Mapping of Urban Environments
Jan 19, 2010
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4340 views

Poster Spotlights
Jan 19, 2010
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3958 views

Multitask Learning Using Nonparametrically Learned Predictor Subspaces
Jan 19, 2010
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4435 views

Discussion and Future Directions
Jan 19, 2010
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3095 views

Learning CRF Models from Drill Rig Sensors for Autonomous Mining
Jan 19, 2010
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5089 views

Bayesian Localized Multiple Kernel Learning
Jan 19, 2010
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3772 views

Multi-Task Learning with Gaussian Processes with Applications to Robot Inverse D...
Jan 19, 2010
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5085 views

Domain Adaptation for Mobile Robot Navigation
Jan 19, 2010
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3911 views

A Bayesian Approach to Occupancy Mapping with Uncertain Inputs
Jan 19, 2010
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3855 views