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» Collusion set detection using graph clustering
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SCIA
2009
Springer
146views Image Analysis» more  SCIA 2009»
14 years 3 months ago
Extraction of Windows in Facade Using Kernel on Graph of Contours
In the past few years, street-level geoviewers has become a very popular web-application. In this paper, we focus on a first urban concept which has been identified as useful for...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, F...
ICDAR
2011
IEEE
12 years 8 months ago
Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...
DATE
2003
IEEE
90views Hardware» more  DATE 2003»
14 years 2 months ago
Mapping Applications to an FPFA Tile
Abstract— This paper introduces a transformational design method which can be used to map code written in a high level source language, like C, to a coarse grain reconfigurable ...
Michèl A. J. Rosien, Yuanqing Guo, Gerard J...
TMI
2002
143views more  TMI 2002»
13 years 8 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 9 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis