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» Using the Wavelet Transform to Learn from User Feedback
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ECML
2004
Springer
15 years 5 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
PERVASIVE
2010
Springer
15 years 6 months ago
On the Use of Brain Decoded Signals for Online User Adaptive Gesture Recognition Systems
Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characte...
Kilian Förster, Andrea Biasiucci, Ricardo Cha...
VISUAL
1999
Springer
15 years 4 months ago
Similarity Search Using Multiple Examples in MARS
Abstract. Unlike traditional database management systems, in multimedia databases that support content-based retrieval over multimedia objects, it is difficult for users to express...
Kriengkrai Porkaew, Sharad Mehrotra, Michael Orteg...
CCS
2008
ACM
15 years 1 months ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...
CVPR
2007
IEEE
15 years 3 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...