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» Using a Non-prior Training Active Feature Model
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EMNLP
2004
15 years 5 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne
INTERSPEECH
2010
14 years 11 months ago
Adaptation of a tongue shape model by local feature transformations
Reconstructing the full contour of the tongue from the position of 3 to 4 landmarks on it is useful in articulatory speech work. This can be done with submillimetric accuracy usin...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
147
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ICIP
2006
IEEE
16 years 5 months ago
Video Event Detection using ICA Mixture Hidden Markov Models
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Jian Zhou, Xiao-Ping Zhang
SEKE
2010
Springer
15 years 2 months ago
An Empirical Evaluation on the Relationship Between Final Auction Price and Shilling Activity in Online Auctions
In this paper, we are interested in the relationship between final prices of online auctions and possible shill activities during those auctions. We conduct experiments on real auc...
Fei Dong, Sol M. Shatz, Haiping Xu
181
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ICCBSS
2005
Springer
15 years 9 months ago
Using Goals and Quality Models to Support the Matching Analysis During COTS Selection
The selection process is a crucial activity of the development of COTS-based systems. A key step of the evaluation of COTS components carried out during selection is the matching b...
Carina Alves, Xavier Franch, Juan Pablo Carvallo, ...