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SBRN
2008
IEEE
15 years 4 months ago
Using a Probabilistic Neural Network for a Large Multi-label Problem
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
Elias Oliveira, Patrick Marques Ciarelli, Alberto ...
DRM
2007
Springer
15 years 3 months ago
Randomized radon transforms for biometric authentication via fingerprint hashing
We present a new technique for generating biometric fingerprint hashes, or summaries of information contained in human fingerprints. Our method calculates and aggregates various...
Mariusz H. Jakubowski, Ramarathnam Venkatesan
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 3 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
IPSN
2007
Springer
15 years 3 months ago
Power scheduling for wireless sensor and actuator networks
We previously presented a model for some wireless sensor and actuator network (WSAN) applications based on the vector space tools of frame theory. In this WSAN model there is a we...
Christopher J. Rozell, Don H. Johnson
IWCMC
2006
ACM
15 years 3 months ago
Distributed obstacle localization in large wireless sensor networks
Obstacles are but pleasing for many aspects of large realworld sensor networks. Among other things, the presence of obstacles distort the sensor node localization process and migh...
Frank Reichenbach, Ralf Salomon, Dirk Timmermann