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CVPR
2009
IEEE
17 years 1 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
HPCA
2002
IEEE
16 years 7 months ago
The Minimax Cache: An Energy-Efficient Framework for Media Processors
This work is based on our philosophy of providing interlayer system-level power awareness in computing systems [26, 27]. Here, we couple this approach with our vision of multipart...
Osman S. Unsal, Israel Koren, C. Mani Krishna, Csa...
APWEB
2008
Springer
15 years 8 months ago
Mining, Ranking, and Using Acronym Patterns
Techniques for being able to automatically identify acronym patterns are very important for enhancing a multitude of applications that rely upon search. This task is challenging, d...
Xiaonan Ji, Gu Xu, James Bailey, Hang Li
MODELS
2009
Springer
15 years 11 months ago
Teaching Modeling: Why, When, What?
This paper reports on a panel discussion held during the Educators’ Symposium at MODELS’2009. It shortly explains the context provided for the discussion and outlines the state...
Jean Bézivin, Robert France, Martin Gogolla...
CIKM
2011
Springer
14 years 6 months ago
Joint inference for cross-document information extraction
Previous information extraction (IE) systems are typically organized as a pipeline architecture of separated stages which make independent local decisions. When the data grows bey...
Qi Li, Sam Anzaroot, Wen-Pin Lin, Xiang Li, Heng J...