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» Training Methods for Adaptive Boosting of Neural Networks
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LOCA
2005
Springer
15 years 3 months ago
Prediction of Indoor Movements Using Bayesian Networks
Abstract. This paper investigates the efficiency of in-door next location prediction by comparing several prediction methods. The scenario concerns people in an office building vis...
Jan Petzold, Andreas Pietzowski, Faruk Bagci, Wolf...
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
14 years 9 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
ICIP
2002
IEEE
15 years 11 months ago
Learning similarity space
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
Abdurrahman Çarkacioglu, Fatos T. Yarman-Vu...
ICASSP
2008
IEEE
15 years 4 months ago
Recognition for synthesis: Automatic parameter selection for resynthesis of emotional speech from neutral speech
One of the biggest challenges in emotional speech resynthesis is the selection of modification parameters that will make humans perceive a targeted emotion. The best selection me...
Murtaza Bulut, Sungbok Lee, Shrikanth Narayanan
CEC
2005
IEEE
15 years 3 months ago
Genetic programming approach for fault modeling of electronic hardware
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Ajith Abraham, Crina Grosan