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» On fields of nonlinear regression models
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BIOSYSTEMS
2008
107views more  BIOSYSTEMS 2008»
14 years 12 months ago
The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex
The responses of cortical neurons are often characterized by measuring their spectro-temporal receptive fields (strfs). The strf of a cell can be thought of as a representation of...
Martin Coath, Emili Balaguer-Ballester, Sue L. Den...
IJCV
2010
194views more  IJCV 2010»
14 years 10 months ago
Extended Phase Field Higher-Order Active Contour Models for Networks - Its Application to Road Network Extraction from VHR Satel
This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i.e. the region in the image corresponding to the entity is composed of bran...
Ting Peng, Ian H. Jermyn, Véronique Prinet,...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 6 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
94
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MICCAI
2010
Springer
14 years 10 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
EUSFLAT
2003
120views Fuzzy Logic» more  EUSFLAT 2003»
15 years 1 months ago
A Type 2 fuzzy system modelling algorithm
In this paper, a modified fuzzy system modelling algorithm that incorporates Type 2 fuzzy sets, which is based on intervalvalued membership degrees rather than singleton membershi...
Kemal Kilic, Özge Uncu, I. Burhan Türkse...