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EMNLP
2006
14 years 1 days ago
Semantic Role Labeling via Instance-Based Learning
This paper demonstrates two methods to improve the performance of instancebased learning (IBL) algorithms for the problem of Semantic Role Labeling (SRL). Two IBL algorithms are u...
Chi-san Althon Lin, Tony C. Smith
CVPR
2009
IEEE
15 years 5 months ago
Learning from Ambiguously Labeled Images
In many image and video collections, we have access only to partially labeled data. For example, personal photo collections often contain several faces per image and a caption t...
Benjamin Sapp, Benjamin Taskar, Chris Jordan, Timo...
ICC
2007
IEEE
105views Communications» more  ICC 2007»
14 years 5 months ago
A QoS-Based Scheme for Planning and Dimensioning of Optical Label Switched Networks
— To support the growing demand for transmission, Optical Label Switching (OLS) technology seems to be attractive due to its ability to allow fast switching and Quality of Servic...
Yassine Khlifi, Noureddine Boudriga, Mohammad S. O...
ICML
2007
IEEE
14 years 11 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 11 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...