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PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
ESTIMEDIA
2009
Springer
14 years 7 months ago
2009
Springer
Abstract--Memory accesses are a major cause of energy consumption for embedded systems and the stack is a frequent target for data accesses. This paper presents a fully software te...
GI
2009
Springer
14 years 7 months ago
2009
Springer
: An active sonar system consists of a sound source activating a surveillance area and a receiver listening for echoes reflected from targets. In a bistatic setup, the source and t...
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ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
CORR
2010
Springer
14 years 7 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...