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175
Voted
ICPR
2002
IEEE
16 years 8 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
174
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ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
We studied a number of measures that characterize the difficulty of a classification problem. We compared a set of real world problems to random combinations of points in this mea...
134
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ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
In statistical pattern recognition, parameters of distributions are usually estimated from training samples. It is well known that shortage of training samples causes estimation e...
176
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
155
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CHI
2008
ACM
16 years 7 months ago
2008
ACM
We investigate the effect of placement and user mobility on the time required to access an on-body interface. In our study, a wrist-mounted system was significantly faster to acce...