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» A Neural Network Based Head Tracking System
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KES
2008
Springer
15 years 5 months ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...
IEEEICCI
2003
IEEE
15 years 10 months ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
134
Voted
SSIAI
2000
IEEE
15 years 9 months ago
Two-Dimensional Phase Unwrapping Using Neural Networks
Imaging systems that construct an image from phase information in received signals include synthetic aperture radar (SAR) and optical Doppler tomography (ODT) systems. A fundament...
Wade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh...
144
Voted
NIPS
1997
15 years 6 months ago
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction
In thispaper, we present a novelhybridarchitecture forcontinuousspeech recognition systems. It consists of a continuous HMM system extended by an arbitrary neural network that is ...
Daniel Willett, Gerhard Rigoll
PERCOM
2009
ACM
16 years 5 months ago
Human Tracking Using Electric Fields
In this paper we describe a simple, cheap, and unobtrusive demo system that can track multiple persons with low-frequency electric fields. The system's operation is based on m...
Miika Valtonen, Jukka Vanhala