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KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 9 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
CORR
2008
Springer
61views Education» more  CORR 2008»
13 years 8 months ago
Science mapping with asymmetrical paradigmatic proximity
We propose a series of methods to represent the evolution of a field of science at different levels: namely micro, meso and macro levels. We use a previously introduced asymmetric...
Jean-Philippe Cointet, David Chavalarias
MVA
2007
210views Computer Vision» more  MVA 2007»
13 years 10 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
AC
2000
Springer
14 years 1 months ago
Graph-Theoretical Methods in Computer Vision
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Ali Shokoufandeh, Sven J. Dickinson
BMCBI
2011
13 years 3 months ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng