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» Kernels for Semi-Structured Data
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IJON
2006
103views more  IJON 2006»
13 years 7 months ago
Kernel extrapolation
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled ...
S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri ...
ACSAC
2008
IEEE
14 years 2 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
ACSAC
2009
IEEE
14 years 2 months ago
Protecting Kernel Code and Data with a Virtualization-Aware Collaborative Operating System
Abstract—The traditional virtual machine usage model advocates placing security mechanisms in a trusted VM layer and letting the untrusted guest OS run unaware of the presence of...
Daniela Alvim Seabra de Oliveira, Shyhtsun Felix W...
BMCBI
2010
182views more  BMCBI 2010»
13 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
TIP
2010
146views more  TIP 2010»
13 years 6 months ago
Effective Level Set Image Segmentation With a Kernel Induced Data Term
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed