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ICML
2007
IEEE
16 years 7 months ago
Non-isometric manifold learning: analysis and an algorithm
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
Piotr Dollár, Serge J. Belongie, Vincent Ra...
HPCA
2006
IEEE
16 years 7 months ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
OSDI
2002
ACM
16 years 7 months ago
ReVirt: Enabling Intrusion Analysis Through Virtual-Machine Logging and Replay
Current system loggers have two problems: they depend on the integrity of the operating system being logged, and they do not save sufficient information to replay and analyze atta...
George W. Dunlap, Samuel T. King, Sukru Cinar, Mur...
MOBIHOC
2006
ACM
16 years 6 months ago
Analysis of random mobility models with PDE's
In this paper we revisit two classes of mobility models which are widely used to represent users' mobility in wireless networks: Random Waypoint (RWP) and Random Direction (R...
Michele Garetto, Emilio Leonardi
ICCAD
2005
IEEE
81views Hardware» more  ICCAD 2005»
16 years 3 months ago
Kauffman networks: analysis and applications
Abstract— A Kauffman network is an abstract model of gene regulatory networks. Each gene is represented by a vertex. An edge from one vertex to another implies that the former ge...
Elena Dubrova, Maxim Teslenko, Andrés Marti...