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SCIA
2005
Springer
110views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Training Cellular Automata for Image Processing
Experiments were carried out to investigate the possibility of training cellular automata to to perform processing. Currently, only binary images are considered, but the space of r...
Paul L. Rosin
MVA
2007
149views Computer Vision» more  MVA 2007»
13 years 9 months ago
Extracting Object Regions Using Locally Estimated Probability Density Functions
In this paper, a novel method for estimating a precise object region using a given rough object region is proposed. For determining whether each pixel belongs to an object or not,...
Hidenori Takeshima, Takashi Ida, Toshimitsu Kaneko
ICDAR
2011
IEEE
12 years 7 months ago
Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
David Hebert, Thierry Paquet, Stéphane Nico...
BMCBI
2010
159views more  BMCBI 2010»
13 years 7 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
ECIR
2010
Springer
13 years 9 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis