TY - GEN
T1 - A hybrid semi-supervised topic model
AU - Zhang, Yanning
AU - Wei, Wei
PY - 2012
Y1 - 2012
N2 - Latent topic models are used to analyze the low-dimensional semantic meaning of documents and images, which are widely applied to object categorization. However, object labeling is expensive and subjective in real applications. Thus, a hybrid semi-supervised topic model is proposed, which uses a small amount of labels to help the generative topic model find semantic topics and cluster the unlabeled data to the same class. We applied the model to obtain the semi-supervised LDA and pLSA methods. Experimental results on natural scene and head pose classification tasks show that the proposed method remains promising using only partial labels in the training process, which demonstrates the effectiveness of the proposed method.
AB - Latent topic models are used to analyze the low-dimensional semantic meaning of documents and images, which are widely applied to object categorization. However, object labeling is expensive and subjective in real applications. Thus, a hybrid semi-supervised topic model is proposed, which uses a small amount of labels to help the generative topic model find semantic topics and cluster the unlabeled data to the same class. We applied the model to obtain the semi-supervised LDA and pLSA methods. Experimental results on natural scene and head pose classification tasks show that the proposed method remains promising using only partial labels in the training process, which demonstrates the effectiveness of the proposed method.
KW - object categorization
KW - Semi-supervised learning
KW - topic model
UR - https://www.scopus.com/pages/publications/84865825362
U2 - 10.1007/978-3-642-31919-8_40
DO - 10.1007/978-3-642-31919-8_40
M3 - 会议稿件
AN - SCOPUS:84865825362
SN - 9783642319181
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 309
EP - 317
BT - Intelligent Science and Intelligent Data Engineering - Second Sino-Foreign-Interchange Workshop, IScIDE 2011, Revised Selected Papers
T2 - 2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011
Y2 - 23 October 2011 through 25 October 2011
ER -