The proceedings contain 54 papers. The topics discussed include: Chinese license plate recognition using machine and deep learning models;multi-task CNN for abusive language detection;improving relation classification...
ISBN:
(纸本)9781665443838
The proceedings contain 54 papers. The topics discussed include: Chinese license plate recognition using machine and deep learning models;multi-task CNN for abusive language detection;improving relation classification with multi-graph GCN;a camera-aware three-stage method for fully unsupervised person re-identification;Moroccan dialect ‘Darija’ automatic speech recognition: a survey;probability preserving discriminative nonnegative matrix factorization;transformer based multimodal speech emotion recognition with improved neural networks;generation and transformation invariant learning for tomato disease classification;fingerprint presentation attack detection by learning in frequency domain;and using denoised LSTM network for tourist arrivals prediction.
The spatial co-location pattern represents a set of spatial features, whose instances are frequently associated in the space. However, due to the exponential time complexity of the traditional algorithm, the operation...
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In term of Chinese natural language processing, it exits one particular problem that how to choose the strategy of word segmentation, which commonly includes char-based and word-based. Targeted at sentiment analysis o...
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Recent approaches for human action detection often rely on appearance and optical flow networks for frame-level detections before linking them to form action tubes. However, they achieve unsatisfactory performance in ...
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Today's wide-spread recommendation is usually constructed based on implicit data such as click for easy collection but whether the no clicked data is negative feedback or unobserved positive feedback confuses the ...
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Object recognition in digital images are carried out using syntactic or spectral domain patternrecognition techniques. Due to ever increasing size of data collected by digital image acquisition systems there is a nee...
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ISBN:
(纸本)9781509032570
Object recognition in digital images are carried out using syntactic or spectral domain patternrecognition techniques. Due to ever increasing size of data collected by digital image acquisition systems there is a need to go in for developing faster, reliable and intelligent patternrecognition methods which would mostly supplement human intelligence in recognizing objects which otherwise remain latent and unnoticed. One such effort is use of deep learning neural networks for object recognition. The input to this system is knowledge extracted from the contours of various objects pre valent in a digital image. This paper advocates a novel method for extracting knowledge about the contours of various objects and components in a digital image and for recognizing objects using a neural network,
In order to carry out effective defect diagnosis of in-service oil and gas pipelines to ensure the safe and stable operation of oil and gas pipelines, this article proposes a pipeline defect intelligent diagnosis meth...
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This paper proposes a novel method of transient stability assessment by adaptive patternrecognition which makes use of an artificial neural network (ANN). A multilayer feed forward network has been applied to a sampl...
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ISBN:
(纸本)0780382374
This paper proposes a novel method of transient stability assessment by adaptive patternrecognition which makes use of an artificial neural network (ANN). A multilayer feed forward network has been applied to a sample nine bus three machine system. A test set pattern chosen outside the region of the learning set patterns giving very close to desirable output (error below 5%) validates the generalising and extrapolating capability of the network after learning. The method has been successfully applied to determine which particular machine goes out of step.
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