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» A Feedback-Based Multi-Classifier System
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SPIESR
1998
195views Database» more  SPIESR 1998»
13 years 8 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra
BCSHCI
2009
13 years 8 months ago
Evaluating haptics for information discovery while walking
In this article we describe and evaluate a novel, low interaction cost approach to supporting the spontaneous discovery of geo-tagged information while on the move. Our mobile hap...
Simon Robinson, Parisa Eslambolchilar, Matt Jones
AAMAS
2010
Springer
13 years 7 months ago
Teaching a pet-robot to understand user feedback through interactive virtual training tasks
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Anja Austermann, Seiji Yamada
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
14 years 1 months ago
Motion Tasks and Force Control for Robot Manipulators on Embedded 2-D Manifolds
— In this paper we present a methodology to drive the end effector of a robotic manipulator across the surface of an object in the workspace, and at the same time the manipulator...
Xanthi Papageorgiou, Savvas G. Loizou, Kostas J. K...
VLC
2008
178views more  VLC 2008»
13 years 7 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...