Calibration methods for two scientific multibeam systems (2009)
Ona, Egil, Mazauric, Valerie, Andersen, Lars Nonboe
Ona, E., Mazauric, V., and Andersen, L. N. 2009. Calibration methods for two scientific multibeam systems. – ICES Journal of Marine Science, 66: 1326–1334. The new Simrad scientific multibeam...
Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen
Abstract. In this paper we address the important problem of optimizing regularization parameters in neural network modeling. The suggested optimization scheme is an extended version of the recently...
Lars Nonboe Andersen, Whitlow Au, Jan Larsen, Lars Kai Hansen
Abstract. This paper describes a method integrating neural networks into a system for recognizing underwater objects. The system is based on a combination of simulated dolphin sonar signals,...
SONAR DISCRIMINATION OF CYLINDERS FROM DIFFERENT ANGLES USING NEURAL NETWORKS (2007)
Lars Nonboe Andersen, Whitlow Au, Jan Larsen, Lars Kai Hansen
This paper describes an underwater object discrimination system applied to recognize cylinders of various compositions from different angles. The system is based on a new combination of simulated...
Lars Nonboe Andersen, Whitlow Au, Jan Larsen, Lars Kai Hansen
This paper describes a method integrating neural networks into a system for recognizing underwater objects. The system is based on a combination of simulated dolphin sonar signals, simulated auditory...
Design of Robust Neural Network Classifiers (1998)
Jan Larsen, Lars Nonboe Andersen, Mads Hintz-madsen, Lars Kai Hansen
This paper addresses a new framework for designing robust neural network classifiers. The network is optimized using the maximum a posteriori technique, i.e., the cost function is the sum of the...
Adaptive Regularization in Neural Network Modeling (1998)
Jan Larsen, Lars Nonboe Andersen, Lars Kai Hansen
Abstract. In this paper we address the important problem of optimizing regularization parameters in neural network modeling. The suggested optimization scheme is an extended version of the recently...
Revisiting Boltzmann Learning: Parameter Estimation in Markov Random Fields (1996)
Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen
This contribution concerns a generalization of the Boltzmann Machine that allows us to use the learning rule for a much wider class of maximum likelihood and maximum a posteriori problems, including...
Regularized Parameter Estimation in an Inhomogeneous Cellular Network (1995)
Lars Nonboe Andersen, Lars Kai Hansen
The Maximum A Posteriori (MAP) approach has found ample use in signal processing [12, 4]. When applied to image data it leads to algorithms that map well onto networks of locally connected, simple...