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AAAI
2010
13 years 9 months 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
13 years 9 months 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
IADIS
2004
13 years 9 months 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
13 years 9 months 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
13 years 9 months 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