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» Computing Minimal Models, Stable Models, and Answer Sets
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PODC
2009
ACM
16 years 10 days ago
Oblivious interference scheduling
In the interference scheduling problem, one is given a set of n communication requests described by pairs of points from a metric space. The points correspond to devices in a wire...
Alexander Fanghänel, Berthold Vöcking, H...
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
15 years 5 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
CVPR
2011
IEEE
14 years 8 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han
PERCOM
2007
ACM
15 years 11 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
15 years 4 months ago
Adaptive minimax filtering via recursive optimal quadratic approximations
This paper considers the minimax filtering problem in which the supremum norm of weighted error sequence is minimized. It is shown that the minimax solution is also the optimal Se...
S. Gollamudi, Yih-Fang Huang