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ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
14 years 1 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
VLC
2008
178views more  VLC 2008»
13 years 8 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...
ISPAN
1999
IEEE
14 years 1 months ago
Using Stochastic Intervals to Predict Application Behavior on Contended Resources
Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
Jennifer M. Schopf, Francine Berman
ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
14 years 1 months ago
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Maxim Likhachev, Michael Kaess, Ronald C. Arkin
AVI
2010
13 years 6 months ago
An infrastructure for creating graphical indicators of the learner profile by mashing up different sources
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to ...
Luca Mazzola, Riccardo Mazza