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BMCBI
2010
182views more  BMCBI 2010»
15 years 4 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
ISCA
2002
IEEE
68views Hardware» more  ISCA 2002»
15 years 9 months ago
Timekeeping in the Memory System: Predicting and Optimizing Memory Behavior
Techniques for analyzing and improving memory referencing behavior continue to be important for achieving good overall program performance due to the ever-increasing performance g...
Zhigang Hu, Margaret Martonosi, Stefanos Kaxiras
JPDC
2007
96views more  JPDC 2007»
15 years 4 months ago
Optimal pipeline decomposition and adaptive network mapping to support distributed remote visualization
This paper discusses algorithmic and implementation aspects of a distributed remote visualization system that optimally decomposes and adaptively maps the visualization pipeline t...
Mengxia Zhu, Qishi Wu, Nageswara S. V. Rao, S. Sit...
SIGIR
2012
ACM
13 years 7 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
CVPR
2009
IEEE
15 years 11 months ago
Optimal scanning for faster object detection
Recent years have seen the development of fast and accurate algorithms for detecting objects in images. However, as the size of the scene grows, so do the running-times of these a...
Nicholas J. Butko, Javier R. Movellan