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» Bounded Vector Signatures and their Applications
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ICPR
2010
IEEE
13 years 5 months ago
Variational Mixture of Experts for Classification with Applications to Landmine Detection
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
Seniha Esen Yuksel, Paul D. Gader
JUCS
2010
124views more  JUCS 2010»
13 years 5 months ago
Performance Optimizations for DAA Signatures on Java enabled Platforms
: With the spreading of embedded and mobile devices, public-key cryptography has become an important feature for securing communication and protecting personal data. However, the c...
Kurt Dietrich, Franz Röck
ISF
2010
164views more  ISF 2010»
13 years 4 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
DATE
2007
IEEE
150views Hardware» more  DATE 2007»
14 years 1 months ago
Fast memory footprint estimation based on maximal dependency vector calculation
In data dominated applications, loop transformations have a huge impact on the lifetime of array data and therefore on memory footprint. Since a locally optimal loop transformatio...
Qubo Hu, Arnout Vandecappelle, Per Gunnar Kjeldsbe...
IPSN
2005
Springer
14 years 29 days ago
Sensing capacity for discrete sensor network applications
We bound the number of sensors required to achieve a desired level of sensing accuracy in a discrete sensor network application (e.g. distributed detection). We model the state of...
Yaron Rachlin, Rohit Negi, Pradeep K. Khosla