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» Implementation of the MLP Kernel
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ACSAC
2008
IEEE
14 years 4 months ago
Automatic Inference and Enforcement of Kernel Data Structure Invariants
Kernel-level rootkits affect system security by modifying key kernel data structures to achieve a variety of malicious goals. While early rootkits modified control data structur...
Arati Baliga, Vinod Ganapathy, Liviu Iftode
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
14 years 3 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao
CCS
2006
ACM
14 years 1 months ago
Application security support in the operating system kernel
Application security is typically coded in the application. In kernelSec, we are investigating mechanisms to implement application security in an operating system kernel. The mech...
Manigandan Radhakrishnan, Jon A. Solworth
SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
13 years 11 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
PAMI
2008
135views more  PAMI 2008»
13 years 9 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun