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Content Based Image Retrieval is very hottest research area in computer vision and image processing. To perceive arbitrary natural scene from complex environment is a challenging issue in visual imaging and processing research area. Neural Network is a grid of “neuron like” nodes, in this paper we follow towards Neural Network (NN), is committed to contributing a new technical concept for the scene...
Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it's a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous...
Cervical spondylosis (CS) is a disease caused by nonspecific degenerative disorders, therefore it requires high demands for diagnosis due to its diversity and complexity. Patient-reported outcomes (PRO) assessment techniques are on the foundation of psychometrics, which obtain patients' own feelings about daily life, health, subjective satisfaction with treatment and other aspects of personal experience...
According to the visible characteristics of speech, a new speech recognition system design was proposed. It based on multiple neural networks. Firstly, Pulse Coupled Neural Network(PCNN) was input into the spectrogram for producing the corresponding time series icon as the feature parameters of speech. And then, the feature parameters was input into the Probabilistic Neural Networks(PNN) for training...
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