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ECML
2006
Springer
13 years 11 months ago
Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning
Abstract. Over the last twenty years AI has undergone a sea change. The oncedominant paradigm of logical inference over symbolic knowledge representations has largely been supplant...
Gerald DeJong
SIGKDD
2008
113views more  SIGKDD 2008»
13 years 7 months ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 8 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
ICVS
2009
Springer
14 years 2 months ago
Increasing the Robustness of 2D Active Appearance Models for Real-World Applications
Abstract. This paper presents an approach to increase the robustness of Active Appearance Models (AAMs) within the scope of humanrobotinteraction. Due to unknown environments with ...
Ronny Stricker, Christian Martin, Horst-Michael Gr...
AVSS
2007
IEEE
14 years 1 months ago
Midground object detection in real world video scenes
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...