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» Kernels for Semi-Structured Data
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ASPLOS
2011
ACM
12 years 11 months ago
Ensuring operating system kernel integrity with OSck
Kernel rootkits that modify operating system state to avoid detection are a dangerous threat to system security. This paper presents OSck, a system that discovers kernel rootkits ...
Owen S. Hofmann, Alan M. Dunn, Sangman Kim, Indraj...
SSPR
2004
Springer
14 years 28 days ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini
CSCW
2004
ACM
13 years 11 months ago
Putting systems into place: a qualitative study of design requirements for location-aware community systems
We present a conceptual framework for location-aware community systems and results from two studies of how sociallydefined places influence people's information sharing and c...
Quentin Jones, Sukeshini A. Grandhi, Steve Whittak...
CHI
2011
ACM
12 years 11 months ago
Computers can't give credit: how automatic attribution falls short in an online remixing community
In this paper, we explore the role that attribution plays in shaping user reactions to content reuse, or remixing, in a large user-generated content community. We present two stud...
Andrés Monroy-Hernández, Benjamin Ma...
JMLR
2011
157views more  JMLR 2011»
13 years 2 months ago
Variable Sparsity Kernel Learning
This paper1 presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assu...
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattac...