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 ...
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...
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...
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 (...
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...