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» Generating from a Deep Structure
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119
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IMC
2005
ACM
15 years 9 months ago
Exploiting Underlying Structure for Detailed Reconstruction of an Internet-scale Event
Network “telescopes” that record packets sent to unused blocks of Internet address space have emerged as an important tool for observing Internet-scale events such as the spre...
Abhishek Kumar, Vern Paxson, Nicholas Weaver
165
Voted
CORR
2008
Springer
126views Education» more  CORR 2008»
15 years 2 months ago
Mining User Profiles to Support Structure and Explanation in Open Social Networking
The proliferation of media sharing and social networking websites has brought with it vast collections of site-specific user generated content. The result is a Social Networking Di...
Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl
IJAR
2010
113views more  IJAR 2010»
15 years 1 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
144
Voted
MICCAI
2009
Springer
15 years 10 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
115
Voted
INFOCOM
2003
IEEE
15 years 8 months ago
On Multicast Trees: Structure and Size Estimation
Abstract— This work presents a thorough investigation of the structure of multicast trees cut from the Internet and power-law topologies. Based on both generated topologies and r...
Danny Dolev, Osnat Mokryn, Yuval Shavitt