Titlebook: Human Centered Computing; First International Qiaohong Zu,Bo Hu,Sopheap Seng Conference proceedings 2015 Springer International Publishing

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FIS

SVM-HMM Based Human Behavior Recognition,een successfully used in speech recognition, is introduced into behavior recognition in this paper. As one of the discriminate models, SVM is able to use less training samples to distinguish the differences of categories than GMM. Therefore, the part of GMM in the GMM-HMM system is replaced by SVM.

勤勉

A Study on Attention Allocation of Psychological Distress Students Based on Eye Movement Data Analyaper, an experiment which combined smooth pursuit eye movement and alphabets recognition tasks was introduced, with the aim of discovering differences in attention allocation between psychological distress students and normal students. Three kinds of data were collected: the recording of alphabets r

PHON

A Dictionary Learning Method Based on Self-adaptive Locality-Sensitive Sparse Representation,f data potential discriminative information during the learning process could be caused. To overcome this problem, we propose a dictionary learning algorithm based on self-adaptive locality-sensitive sparse representation. The algorithm considers the relationship of linear representation between dic

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A New Semantic Model for Domain-Ontology Learning, topics. However, with the current technology, all existing OL (from unstructured data source) methods rely on predefined knowledge about a specific domain. In this case, it’s more like an ontology enrichment process rather than a learning process. In this paper, a new learning model will be introdu

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A Scalable Network Proximity Estimate Algorithm for the Service Provider Selection Method,ervice providers becomes more and more essential. In the selection, network distance is a very important parameter, and estimating network proximity is part of the network distance estimation. Although there exists a number of network proximity estimation technologies, they either require the distan

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