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» A comparative study of two object recognition methods
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TMI
2002
143views more  TMI 2002»
15 years 3 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...
MICCAI
2008
Springer
16 years 5 months ago
Spherical Demons: Fast Surface Registration
Abstract. We present the fast Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large clas...
B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauter...
ICSM
2009
IEEE
15 years 10 months ago
Modeling class cohesion as mixtures of latent topics
The paper proposes a new measure for the cohesion of classes in Object-Oriented software systems. It is based on the analysis of latent topics embedded in comments and identifiers...
Yixun Liu, Denys Poshyvanyk, Rudolf Ferenc, Tibor ...
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DATAMINE
2010
175views more  DATAMINE 2010»
15 years 3 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
13 years 6 months ago
On Evaluation of Outlier Rankings and Outlier Scores
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
Erich Schubert, Remigius Wojdanowski, Arthur Zimek...