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» Cluster detection algorithm in neural networks
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IJON
2008
186views more  IJON 2008»
14 years 9 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
WOWMOM
2009
ACM
204views Multimedia» more  WOWMOM 2009»
15 years 2 months ago
ECTC: Energy effiCient topology control algorithm for wireless sensor networks
Sensor network which operates on battery are used to gather data in a variety of environments. The data collected by each node is communicated through the network to the sink, whi...
Nedal Ababneh, Anastasios Viglas, Houda Labiod, Na...
PR
2007
101views more  PR 2007»
14 years 9 months ago
Use of power law models in detecting region of interest
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Yves Caron, Pascal Makris, Nicole Vincent
ICPR
2008
IEEE
15 years 4 months ago
A supervised learning approach for imbalanced data sets
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...
BMCBI
2006
202views more  BMCBI 2006»
14 years 9 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau