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ATAL
2007
Springer
15 years 4 months ago
Transfer via inter-task mappings in policy search reinforcement learning
The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
ICARCV
2006
IEEE
147views Robotics» more  ICARCV 2006»
15 years 3 months ago
Scale Normalization for the Distance Maps AAM
— The Active Apearence Models (AAM) are often used in Man-Machine Interaction for their ability to align the faces. We propose a new normalization method for AAM based on distanc...
Denis Giri, Maxime Rosenwald, Benjamin Villeneuve,...
AROBOTS
2006
95views more  AROBOTS 2006»
14 years 10 months ago
Treemap: An O(log n) algorithm for indoor simultaneous localization and mapping
This article presents a very efficient SLAM algorithm that works by hierarchically dividing a map into local regions and subregions. At each level of the hierarchy each region sto...
Udo Frese
TROB
2008
123views more  TROB 2008»
14 years 9 months ago
iSAM: Incremental Smoothing and Mapping
We present incremental smoothing and mapping (iSAM), a novel approach to the simultaneous localization and mapping problem that is based on fast incremental matrix factorization. i...
Michael Kaess, Ananth Ranganathan, Frank Dellaert
NEUROSCIENCE
2001
Springer
15 years 2 months ago
Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
Joanna Bryson, Lynn Andrea Stein