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ACSAC
2009
IEEE
14 years 2 months ago
Protecting Commodity Operating System Kernels from Vulnerable Device Drivers
Device drivers on commodity operating systems execute with kernel privilege and have unfettered access to kernel data structures. Several recent attacks demonstrate that such poor...
Shakeel Butt, Vinod Ganapathy, Michael M. Swift, C...
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
14 years 1 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
NIPS
2001
13 years 9 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
ICDM
2003
IEEE
153views Data Mining» more  ICDM 2003»
14 years 28 days ago
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
Peng Zhang, Jing Peng, Carlotta Domeniconi
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....