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Harmonics are usually analyzed through Fourier transform or wavelet transform, both of which have their shortcomings. Wavelet neural-network is a new algorithm that combines wavelet analysis with neural-network, suitable for processing signals with time-varying frequency domain characters. To analyze the third and fifth harmonics, a wavelet network structure was constructed, training algorithm described...
This paper proposes an algorithm of failure diagnosis for electronic device. This algorithm can train existed failure diagnosis parameter sample sets, analysis internal relationship of diagnosis parameters and obtain the final result for device diagnosis, which achieves diagnosis adaptation about further sample parameter of device failure diagnosis. The advantage of algorithm is to optimize training...
This paper proposes a pain expression recognition method using boosted Gabor features. At first, each neonatal facial image which is normalized to the size of 112times92 pixels is convoluted with the 2D Gabor filters to extract 412160 Gabor features. Since the high-dimensional Gabor feature vectors are quite redundant, we propose a modified version of AdaBoost algorithm, called the HybridBoost, to...
Facial expressions are considered a critical factor in neonatal pain assessment. This paper proposes a pain expression recognition method using boosted Gabor features. Each neonatal facial image is convoluted with the 2D Gabor filters to extract 412,160 Gabor features. Since the high-dimension Gabor feature vectors are quite redundant, we employs a modified version of AdaBoost algorithm to select...
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