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TIP
2010
155views more  TIP 2010»
15 years 4 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
IJCAI
2003
15 years 7 months ago
Integrating Information to Bootstrap Information Extraction from Web Sites
In this paper we propose a methodology to learn to extract domain-specific information from large repositories (e.g. the Web) with minimum user intervention. Learning is seeded b...
Fabio Ciravegna, Alexiei Dingli, David Guthrie, Yo...
WWW
2006
ACM
16 years 7 months ago
Automatic identification of user interest for personalized search
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Feng Qiu, Junghoo Cho
WWW
2008
ACM
16 years 7 months ago
Larger is better: seed selection in link-based anti-spamming algorithms
Seed selection is of significant importance for the biased PageRank algorithms such as TrustRank to combat link spamming. Previous work usually uses a small seed set, which has a ...
Qiancheng Jiang, Lei Zhang, Yizhen Zhu, Yan Zhang
ICB
2009
Springer
132views Biometrics» more  ICB 2009»
15 years 4 months ago
Fusion in Multibiometric Identification Systems: What about the Missing Data?
Many large-scale biometric systems operate in the identification mode and include multimodal information. While biometric fusion is a well-studied problem, most of the fusion schem...
Karthik Nandakumar, Anil K. Jain, Arun Ross