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IJON
2008
116views more  IJON 2008»
15 years 6 months ago
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
Paul D. O'Grady, Barak A. Pearlmutter
IJRR
2008
151views more  IJRR 2008»
15 years 6 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
IDA
2006
Springer
15 years 6 months ago
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
Allan Tucker, Peter A. C. 't Hoen, Veronica Vincio...
INFORMATICALT
2008
139views more  INFORMATICALT 2008»
15 years 6 months ago
Fingerprint Minutiae Matching without Global Alignment Using Local Structures
This paper presents a method of minutiae based fingerprint matching that is robust to deformations and does not do fingerprint alignment. It concentrates on comparing rotation and ...
Andrej Kisel, Alexej Kochetkov, Justas Kranauskas
IJAR
2006
118views more  IJAR 2006»
15 years 6 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
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