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» Using the Wavelet Transform to Learn from User Feedback
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ASSISTIVE
1998
Springer
15 years 1 months ago
Providing Intelligent Language Feedback for Augmentative Communication Users
People with severe speech and motor impairments SSMI can often use augmentative communication devices to help them communicate. While these devices can provide speech synthesis or ...
Christopher A. Pennington, Kathleen F. McCoy
TKDE
2008
116views more  TKDE 2008»
14 years 9 months ago
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
89
Voted
CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
89
Voted
ACCV
2010
Springer
14 years 4 months ago
Interactive Event Search through Transfer Learning
Activity videos are widespread on the Internet but current video search is limited to text tags due to limitations in recognition systems. One of the main reasons for this limitati...
Antony Lam, Amit K. Roy Chowdhury, Christian R. Sh...
WWW
2010
ACM
15 years 4 months ago
Optimal rare query suggestion with implicit user feedback
Query suggestion has been an effective approach to help users narrow down to the information they need. However, most of existing studies focused on only popular/head queries. Si...
Yang Song, Li-wei He