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ACL
2011
13 years 15 days ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald
CVPR
2008
IEEE
14 years 11 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
INFOSCALE
2007
ACM
13 years 10 months ago
Exploring lattice structures in mining multi-domain sequential patterns
— Since sequential patterns may exist in multiple sequence databases, we propose algorithm PropagatedMine+ to efficiently discover multi-domain sequential patterns. Prior works ...
Zhung-Xun Liao, Wen-Chih Peng
TCSV
2010
13 years 3 months ago
Object Tracking in Structured Environments for Video Surveillance Applications
Abstract--We present a novel tracking method for effectively tracking objects in structured environments. The tracking method finds applications in security surveillance, traffic m...
Junda Zhu, Yuanwei Lao, Yuan F. Zheng