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» Neural networks: Algorithms and applications
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DMSN
2008
ACM
15 years 9 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
LISA
2001
15 years 9 months ago
Crypto Blunders
Cryptography has emerged as an enormously important component of the networked world. People are hesitant to trust the World Wide Web and e-commerce without the protections crypto...
Steve Burnett
PR
2011
15 years 2 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
16 years 9 months ago
Link Privacy in Social Networks
We consider a privacy threat to a social network in which the goal of an attacker is to obtain knowledge of a significant fraction of the links in the network. We formalize the ty...
Aleksandra Korolova, Rajeev Motwani, Shubha U. Nab...
SENSYS
2006
ACM
16 years 1 months ago
Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks
Sensor networks exhibit a unique funneling effect which is a product of the distinctive many-to-one, hop-by-hop traffic pattern found in sensor networks, and results in a signific...
Gahng-Seop Ahn, Se Gi Hong, Emiliano Miluzzo, Andr...