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» Text classification improved through multigram models
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ACCV
2010
Springer
13 years 2 months ago
Interactive Event Search through Transfer Learning
Activity videos are widespread on the Internet but current video search is limited to text tags due to limitations in recognition systems. One of the main reasons for this limitati...
Antony Lam, Amit K. Roy Chowdhury, Christian R. Sh...
LREC
2010
141views Education» more  LREC 2010»
13 years 9 months ago
Resources for Calendar Expressions Semantic Tagging and Temporal Navigation through Texts
The linguistic resources presented in this paper are designed for the recognition and semantic tagging of calendar expressions in French. While existing resources generally put th...
Charles Teissèdre, Delphine Battistelli, Je...
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
14 years 1 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
ICDAR
2009
IEEE
13 years 5 months ago
Using top n Recognition Candidates to Categorize On-line Handwritten Documents
The traditional weighting schemes used in text categorization for the vector space model (VSM) cannot exploit information intrinsic to texts obtained through on-line handwriting r...
Sebastián Peña Saldarriaga, Emmanuel...
CIKM
2008
Springer
13 years 9 months ago
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...
Jian Huang 0002, Omid Madani, C. Lee Giles