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ESANN
2007
15 years 8 months ago
Kernel-based online machine learning and support vector reduction
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
ICMLA
2007
15 years 8 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
IFIP12
2007
15 years 8 months ago
A Multi-Agent Design for a Home Automation System dedicated to power management
This paper presents the principles of a Home Automation System dedicated to power management that adapts power consumption to available power ressources according to user comfort a...
Shadi Abras, Stéphane Ploix, Sylvie Pesty, ...
IJCAI
2007
15 years 8 months ago
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
Dit-Yan Yeung, Hong Chang, Guang Dai
IJCAI
2007
15 years 8 months ago
r-grams: Relational Grams
We introduce relational grams (r-grams). They upgrade n-grams for modeling relational sequences of atoms. As n-grams, r-grams are based on smoothed n-th order Markov chains. Smoot...
Niels Landwehr, Luc De Raedt