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AI
2001
Springer
15 years 9 months ago
The Bottom-Up Freezing: An Approach to Neural Engineering
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...
Ali Farzan, Ali A. Ghorbani
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 6 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
ICC
2009
IEEE
136views Communications» more  ICC 2009»
15 years 2 months ago
Maximizing the Sum Rate in Symmetric Networks of Interfering Links
We consider the power optimization problem of maximizing the sum rate of a symmetric network of interfering links in Gaussian noise. All transmitters have an average transmit power...
Sibi Raj Bhaskaran, Stephen V. Hanly, Nasreen Badr...
ICIP
2002
IEEE
16 years 6 months ago
Multiresolution 3D mesh compression
In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete ...
Frédéric Payan, Marc Antonini
ICIP
1995
IEEE
16 years 6 months ago
Multiresolution model development for overlapping trees via canonical correlation analysis
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...