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» Algorithms for Categorical Equivalence
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ICML
2002
IEEE
16 years 6 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani
SIGIR
2010
ACM
15 years 9 months ago
Combining coregularization and consensus-based self-training for multilingual text categorization
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
MM
2009
ACM
159views Multimedia» more  MM 2009»
16 years 7 days ago
Visual categorization with negative examples for free
Automatic visual categorization is critically dependent on labeled examples for supervised learning. As an alternative to traditional expert labeling, social-tagged multimedia is ...
Xirong Li, Cees G. M. Snoek
CIKM
2008
Springer
15 years 7 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
ICB
2009
Springer
148views Biometrics» more  ICB 2009»
15 years 3 months ago
Fuzzy 3D Face Ethnicity Categorization
In this paper, we propose a novel fuzzy 3D face ethnicity categorization algorithm, which contains two stages, learning and mapping. In learning stage, the visual codes are first l...
Cheng Zhong, Zhenan Sun, Tieniu Tan