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» Clustering with the Connectivity Kernel
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PAMI
2006
117views more  PAMI 2006»
13 years 9 months ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
ERLANG
2007
ACM
14 years 1 months ago
Optimising TCP/IP connectivity
With the increased use of network enabled applications and server hosted software systems, scalability with respect to network connectivity is becoming an increasingly important s...
Oscar Hellström
VIROLOGY
2008
68views more  VIROLOGY 2008»
13 years 9 months ago
Internet attacks monitoring with dynamic connection redirection mechanisms
High-interaction honeypots are interesting as they help understand how attacks unfold on a compromised machine. However, observations are generally limited to the operations perfo...
Eric Alata, Ion Alberdi, Vincent Nicomette, Philip...
IPPS
2009
IEEE
14 years 4 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader
ALT
2010
Springer
13 years 7 months ago
An Identity for Kernel Ridge Regression
This paper provides a probabilistic derivation of an identity connecting the square loss of ridge regression in on-line mode with the loss of a retrospectively best regressor. Some...
Fedor Zhdanov, Yuri Kalnishkan