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» Problems of learning in multi-agent systems
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CVPR
2003
IEEE
16 years 7 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
ECCV
2002
Springer
16 years 6 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 5 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...
WISE
2005
Springer
15 years 10 months ago
Extracting Web Data Using Instance-Based Learning
This paper studies structured data extraction from Web pages, e.g., online product description pages. Existing approaches to data extraction include wrapper induction and automatic...
Yanhong Zhai, Bing Liu
JUCS
2010
186views more  JUCS 2010»
15 years 3 months ago
Context Awareness for Collaborative Learning with Uncertainty Management
: In Collaborative Learning, groups of students work together using traditional and computer-based tools or applications. Participants are continuously moving and reorganizing in g...
Roc Messeguer, Leandro Navarro, Pedro Damiá...