The discriminative over-complete dictionary trained manually could greatly improve the sparsity of the representation coefficient vector and also improve the performance of dim target detection. Nevertheless, its serious limitation is that the atoms couldn't adapt to moving targets and changing backgrounds...
The study thus relates to the second edition of the course in 2022. Prior to beginning the course, the teachers had attended online training together on how to plan Virtual Exchange projects, offered by the Erasmus+ Virtual Exchange Project (https://europa.eu/youth/erasmusvirtual_en (accessed ...
VandenBosch GR, ed. 2007. APA Dictionary of Psychology. Washington, DC: American Psychological Association, p. 427.American Psychological Association (2015): APA Dictionary of Psychology. Second Edi- tion, revised Edition of APA Dictionary of Psychology 2007, Maple Press, York, PA....
Apasiba Abeo, TimothyShen, Xiang-JunGou, Jian-PingMao, Qi-RongBao, Bing-KunLi, ShuyingThe Institution of Engineering and TechnologyIET Computer VisionAbeo, T.A.; Shen, X.J.; Gou, J.P.; Mao, Q.R.; Bao, B.K.; Li, S. Dictionary-induced least squares framework for multi-view ...
For the words not in the dictionary, the values are randomly taken between −0.1−0.1 and 0.10.1. The initial values of all the parameter matrices and vectors are randomly chosen between −0.1−0.1 and 0.10.1. The initial value of the bias is set to 0. To adjust the ...
Developing a hybrid dictionary-based bio-entity recognition technique. BMC Med. Inform. Decis. Mak. 2015, 15, 8. [Google Scholar] [CrossRef] Khan, A.T.; Cao, X.W.; Liao, B.L.; Francis, A. Bio-inspired Machine Learning for Distributed Confidential Multi-Portfolio Selection Problem. ...
dictionary-based sentiment analysis, and the NRC Word-Emotion Association Lexicon were used to extract the topic, sentiment, and context features of the content of 4254 useful reviews, and the influence of these features on the usefulness of the reviews was verified by a multiple linear regression...