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AAAI
2010
15 years 16 days ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
NIPS
2008
15 years 15 days ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
80
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IADIS
2004
15 years 14 days ago
Web Page Usability Analysis Based on Vague Perceptual Concepts
Automated Web usability analysis aims at obtaining a figure of the overall usability of a Web page or site by comparing objective page measures or indicators with statistical prof...
David Palomar, Miguel-Ángel Sicilia
ECIR
1998
Springer
15 years 13 days ago
Independence of Contributing Retrieval Strategies in Data Fusion for Effective Information Retrieval
: In information retrieval, data fusion is a technique for combining the outputs of more than one retrieval strategy which rank documents for retrieval. One of the observations oft...
Alan F. Smeaton
PICS
2000
15 years 12 days ago
Image Quality Testing on the Production Line
Eastman Kodak Company is using a scanner-based image quality measurement system to perform production line testing of the image quality of a high-quality thermal media based imagi...
Yair Kipman, Sam Reele, Randy Dumas