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» Kernels for Semi-Structured Data
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ASPLOS
2011
ACM
14 years 7 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
15 years 8 months 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
15 years 7 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
14 years 7 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...
137
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JMLR
2011
157views more  JMLR 2011»
14 years 10 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...