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ICVS
2001
Springer
14 years 3 days ago
Adapting Object Recognition across Domains: A Demonstration
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus
NN
1997
Springer
174views Neural Networks» more  NN 1997»
13 years 11 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
IAJIT
2007
146views more  IAJIT 2007»
13 years 7 months ago
Adaptive Optimizing of Hello Messages in Wireless Ad-Hoc Networks
: Routing is an important functional aspect in wireless ad-hoc networks that handles discovering and maintaining the paths between nodes within a network. Due to nodes mobility, th...
Essam Natsheh, Adznan B. Jantan, Sabira Khatun, Su...
INFOCOM
2003
IEEE
14 years 28 days ago
Modeling Malware Spreading Dynamics
— In this paper we present analytical techniques that can be used to better understand the behavior of malware, a generic term that refers to all kinds of malicious software prog...
Michele Garetto, Weibo Gong, Donald F. Towsley
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach
Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...
Pietro Zoppoli, Sandro Morganella, Michele Ceccare...