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ICPR
2010
IEEE
13 years 5 months ago
An Efficient and Stable Algorithm for Learning Rotations
This paper analyses the computational complexity and stability of an online algorithm recently proposed for learning rotations. The proposed algorithm involves multiplicative upda...
Raman Arora, William A. Sethares
ECCV
2004
Springer
14 years 1 months ago
Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
P. Thomas Fletcher, Sarang C. Joshi
ICASSP
2009
IEEE
13 years 5 months ago
Distributed sampling and reconstruction of non-bandlimited fields in sensor networks based on shift-invariant spaces
We use the theory and algorithms developed for so-called shiftinvariant spaces to develop a novel distributed architecture for sampling and reconstructing non-bandlimited fields i...
Gunter Reise, Gerald Matz
CEC
2005
IEEE
14 years 1 months ago
Using temporal information distance to locate sensorimotor experience in a metric space
Information distance is used to measure how similar sensorimotor experience is to past experience within a certain temporal horizon. Applied to groups of sensors this gives a mathe...
Naeem Assif Mirza, Chrystopher L. Nehaniv, Kerstin...
COMPGEOM
2008
ACM
13 years 9 months ago
Towards persistence-based reconstruction in euclidean spaces
Manifold reconstruction has been extensively studied for the last decade or so, especially in two and three dimensions. Recent advances in higher dimensions have led to new method...
Frédéric Chazal, Steve Oudot