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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
ICPR
2000
IEEE
16 years 29 days ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
DAC
2004
ACM
16 years 26 days ago
2004
ACM
Massive data transfer encountered in emerging multimedia embedded applications requires architecture allowing both highly distributed memory structure and multiprocessor computati...
ICML
2006
IEEE
16 years 21 days ago
2006
IEEE
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
ICML
2004
IEEE
16 years 21 days ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...