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ICDAR
2007
IEEE
15 years 4 months ago
Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
D. Yang, L. Jin
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 7 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
CLUSTER
2006
IEEE
15 years 3 months ago
Kernel-Level Measurement for Integrated Parallel Performance Views: the KTAU Project
The effect of the operating system on application performance is an increasingly important consideration in high performance computing. OS kernel measurement is key to understandi...
Aroon Nataraj, Allen D. Malony, Sameer Shende, Ala...
NIPS
2003
14 years 11 months ago
Eigenvoice Speaker Adaptation via Composite Kernel PCA
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (...
James T. Kwok, Brian Mak, Simon Ho
OSDI
1996
ACM
14 years 11 months ago
Dealing with Disaster: Surviving Misbehaved Kernel Extensions
Today's extensible operating systems allow applications to modify kernel behavior by providing mechanisms for application code to run in the kernel address space. The advanta...
Margo I. Seltzer, Yasuhiro Endo, Christopher Small...