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104
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AAAI
2006
15 years 2 months ago
Learning Representation and Control in Continuous Markov Decision Processes
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Sridhar Mahadevan, Mauro Maggioni, Kimberly Fergus...
112
Voted
PAMI
2006
117views more  PAMI 2006»
15 years 20 days ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
87
Voted
IJBC
2002
86views more  IJBC 2002»
15 years 15 days ago
Symbolic Dynamics from homoclinic tangles
We give a method for finding symbolic dynamics for a planar diffeomorphism with a homoclinic tangle. The method only requires a finite piece of tangle, which can be computed with ...
Pieter Collins
116
Voted
SMI
2010
IEEE
159views Image Analysis» more  SMI 2010»
14 years 10 months ago
X-maps: An Efficient Model for Non-manifold Modeling
Abstract--Many representation schemes have been proposed to deal with non-manifold and mixed dimensionalities objects. A majority of those models are based on incidence graphs and ...
David Cazier, Pierre Kraemer
ICVS
2003
Springer
15 years 6 months ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock