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» Learning Functions from Imperfect Positive Data
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CVPR
2012
IEEE
11 years 11 months ago
Supervised hashing with kernels
Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by leveraging supervised ...
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shi...
INLG
2010
Springer
13 years 6 months ago
JU_CSE_GREC10: Named Entity Generation at GREC 2010
This paper presents the experiments carried out at Jadavpur University as part of the participation in the GREC Named Entity Generation Challenge 2010. The Baseline system is base...
Amitava Das, Tanik Saikh, Tapabrata Mondal, Sivaji...
WPES
2004
ACM
14 years 2 months ago
Private collaborative forecasting and benchmarking
Suppose a number of hospitals in a geographic area want to learn how their own heart-surgery unit is doing compared with the others in terms of mortality rates, subsequent complic...
Mikhail J. Atallah, Marina Bykova, Jiangtao Li, Ke...
ICIAP
2009
ACM
14 years 9 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
CHI
1997
ACM
14 years 28 days ago
The Design of a GUI Paradigm based on Tablets, Two-hands, and Transparency
An experimental GUI paradigm is presented which is based on the design goals of maximizing the amount of screen used for application data, reducing the amount that the UI diverts ...
Gordon Kurtenbach, George W. Fitzmaurice, Thomas B...