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ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
13 years 4 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
13 years 7 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 6 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
ICIP
2003
IEEE
13 years 11 months ago
Image classification using multimedia knowledge networks
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
Ana B. Benitez, Shih-Fu Chang
ICPR
2008
IEEE
14 years 7 months ago
Detecting moving text in video using temporal information
This paper presents our work on automatically detecting moving rigid text in digital videos. The temporal information is obtained by dividing a video frame into sub-blocks and cal...
Chew Lim Tan, Palaiahnakote Shivakumara, Weihua Hu...