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» On the granularity of summative kernels
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ICCV
2003
IEEE
14 years 8 months ago
Improved Fast Gauss Transform and Efficient Kernel Density Estimation
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
ICIP
2005
IEEE
13 years 11 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
HPDC
2002
IEEE
13 years 11 months ago
Using Kernel Couplings to Predict Parallel Application Performance
Performance models provide significant insight into the performance relationships between an application and the system used for execution. The major obstacle to developing perfor...
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Ri...
CCS
2009
ACM
14 years 26 days ago
Countering kernel rootkits with lightweight hook protection
Kernel rootkits have posed serious security threats due to their stealthy manner. To hide their presence and activities, many rootkits hijack control flows by modifying control d...
Zhi Wang, Xuxian Jiang, Weidong Cui, Peng Ning
FCCM
2005
IEEE
151views VLSI» more  FCCM 2005»
13 years 11 months ago
Accelerating Applications by Mapping Critical Kernels on Coarse-Grain Reconfigurable Hardware in Hybrid Systems
In this paper, we propose a method for speeding-up applications by partitioning them between the reconfigurable hardware blocks of different granularity and mapping critical parts...
Michalis D. Galanis, Grigoris Dimitroulakos, Costa...