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AIA
2007
15 years 5 months ago
Adaptive preference elicitation for top-K recommendation tasks using GAI-networks
The enormous number of questions needed to acquire a full preference model when the size of the outcome space is large forces us to work with partial models that approximate the u...
Sérgio R. de M. Queiroz
ACL
2010
15 years 2 months ago
Faster Parsing by Supertagger Adaptation
We propose a novel self-training method for a parser which uses a lexicalised grammar and supertagger, focusing on increasing the speed of the parser rather than its accuracy. The...
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawbo...
CORR
2011
Springer
182views Education» more  CORR 2011»
14 years 8 months ago
Adaptively Learning the Crowd Kernel
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...
Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, A...
113
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ICASSP
2011
IEEE
14 years 8 months ago
Adaptive frequency-domain biased estimation algorithms with automatic adjustment of shrinkage factors
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
Sheng Li, Rodrigo C. de Lamare, Martin Haardt
ICIP
2005
IEEE
16 years 6 months ago
An adaptive DCT-based Mod-4 steganographic method
This paper presents a novel Mod-4 steganographic method in discrete cosine transform (DCT) domain. A group of 2?2 quantized DCT coefficients (GQC) is selected as the valid embeddi...
Xiaojun Qi, KokSheik Wong