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» The Dark Side of Object Learning: Learning Objects
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ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
13 years 6 months ago
Real-world robot navigation amongst deformable obstacles
Abstract-- In this paper, we consider the problem of mobile robots navigating in environments with non-rigid objects. Whereas robots can plan their paths more effectively when they...
Barbara Frank, Cyrill Stachniss, Ruediger Schmeddi...
ICALT
2007
IEEE
14 years 3 months ago
Impact of Process Goal and Outcome Goal on Learning Performance for Web-based Learners
The purpose of this research is to develop a webbased learning environment where teachers can provide subject content using SCORM Simple Sequence Specification (SSS) mechanism wit...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Feng-Hsie...
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 3 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
ICCV
2007
IEEE
14 years 11 months ago
A Scalable Approach to Activity Recognition based on Object Use
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...
ECCV
2010
Springer
13 years 11 months ago
Depth-Encoded Hough Voting for joint object detection and shape recovery
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...