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ESANN
2007
15 years 8 months ago
Learning topology of a labeled data set with the supervised generative gaussian graph
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
Pierre Gaillard, Michaël Aupetit, Géra...
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
14 years 6 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
ECTEL
2007
Springer
16 years 27 days ago
Cross-System Validation of Engagement Prediction from Log Files
Engagement is an important aspect of effective learning. Time spent using an e-Learning system is not quality time if the learner is not engaged. Tracking student disengagement wou...
Mihaela Cocea, Stephan Weibelzahl
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
16 years 2 days ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha
ICPR
2000
IEEE
15 years 11 months ago
Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback
Retrieval techniques based on pure similarity metrics are often suffered from the scales of image features. An alternative approach is to learn a mapping based on queries and rele...
Ying Wu, Qi Tian, Thomas S. Huang