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ICPR
2006
IEEE
14 years 5 months ago
An Empirical Model for Saturation and Capacity in Classifier Spaces
When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification ra...
Robert B. Fisher
TMC
2008
175views more  TMC 2008»
13 years 4 months ago
An Empirical Study on the Capacity and Performance of 3G Networks
This paper presents the findings of an extensive measurement study on multiple commercial third-generation (3G) networks. We have investigated the performance of those 3G networks ...
Wee Lum Tan, Fung Lam, Wing Cheong Lau
ANNPR
2008
Springer
13 years 6 months ago
Combining Methods for Dynamic Multiple Classifier Systems
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
Amber Tomas
CVPR
2007
IEEE
14 years 6 months ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
ICML
1999
IEEE
14 years 5 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox