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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 6 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
FPL
2003
Springer
95views Hardware» more  FPL 2003»
15 years 11 months ago
A Model for Hardware Realization of Kernel Loops
Abstract. Hardware realization of kernel loops holds the promise of accelerating the overall application performance and is therefore an important part of the synthesis process. In...
Jirong Liao, Weng-Fai Wong, Tulika Mitra
ICASSP
2011
IEEE
14 years 10 months ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...
OSDI
1994
ACM
15 years 7 months ago
Experiences with Locking in a NUMA Multiprocessor Operating System Kernel
We describe the lockingarchitecture of a new operating system, HURRICANE, designed for large scale shared-memory multiprocessors. Many papers already describe kernel lockingtechni...
Ronald C. Unrau, Orran Krieger, Benjamin Gamsa, Mi...
IJCV
2006
266views more  IJCV 2006»
15 years 6 months ago
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
In this paper, we make two contributions to the field of level set based image segmentation. Firstly, we propose shape dissimilarity measures on the space of level set functions wh...
Daniel Cremers, Stanley Osher, Stefano Soatto