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WACV
2005
IEEE
14 years 29 days ago
Semi-Supervised Self-Training of Object Detection Models
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
Chuck Rosenberg, Martial Hebert, Henry Schneiderma...
SEAL
1998
Springer
13 years 11 months ago
Genetic Programming with Active Data Selection
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
Byoung-Tak Zhang, Dong-Yeon Cho
NAACL
2010
13 years 5 months ago
Training Paradigms for Correcting Errors in Grammar and Usage
This paper proposes a novel approach to the problem of training classifiers to detect and correct grammar and usage errors in text by selectively introducing mistakes into the tra...
Alla Rozovskaya, Dan Roth
IJCNLP
2004
Springer
14 years 23 days ago
Detection of Incorrect Case Assignments in Paraphrase Generation
Abstract. This paper addresses the issue of post-transfer process in paraphrasing. Our previous investigation into transfer errors revealed that case assignment tends to be incorre...
Atsushi Fujita, Kentaro Inui, Yuji Matsumoto
NAACL
2004
13 years 8 months ago
Name Tagging with Word Clusters and Discriminative Training
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Scott Miller, Jethran Guinness, Alex Zamanian