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NIPS
2008
15 years 7 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 7 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
SDM
2008
SIAM
114views Data Mining» more  SDM 2008»
15 years 7 months ago
Semi-Supervised Classification with Universum
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhan...
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 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
MSV
2007
15 years 7 months ago
Assessment of ARMAX Structure as a Global Model for Self-Refilling Steam Distillation Essential Oil Extraction System
Abstract - In this paper, an essential oil extraction system with self-refilling system is modeled based on inputoutput data collected from a dedicated acquisition system. The ARMA...
Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib, Yusof...