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» Using the Wavelet Transform to Learn from User Feedback
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FLAIRS
2003
14 years 11 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
IJCNN
2000
IEEE
15 years 1 months ago
Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets
: A system for learning the pre-grasp positioning task for a robot manipulator is presented. The images delivered from a gripper mounted camera are analysed using Gabor filters wh...
Jörg A. Walter, Bert Arnrich, Christian Schee...
CIKM
2007
Springer
15 years 3 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
66
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NORDICHI
2006
ACM
15 years 3 months ago
One-dimensional force feedback slider: going from an analogue to a digital platform
This paper examines the use of motorized physical sliders with position and force as input and output parameters for tangible human computer interaction. Firstly, we present an an...
Ali Shahrokni, Julio Jenaro, Tomas Gustafsson, And...
ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
15 years 1 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang