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» Learning to cluster using local neighborhood structure
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AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
14 years 12 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
ACIVS
2007
Springer
15 years 4 months ago
Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines
Abstract. Most existing feature-point matching algorithms rely on photometric region descriptors to distinct and match feature points in two images. In this paper, we propose an eï...
Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H...
CAIP
1999
Springer
143views Image Analysis» more  CAIP 1999»
15 years 2 months ago
Frame-Relative Critical Point Sets in Image Analysis
Abstract. We propose a new computational method for segmenting topological sub-dimensional point-sets in scalar images of arbitrary spatial dimensions. The technique is based on co...
Stiliyan Kalitzin, Joes Staal, Bart M. ter Haar Ro...
GI
2009
Springer
14 years 7 months ago
Coarse graining of an individual-based plant model
: The evolution and structuring of plant communities is governed by local plant-to-plant interaction. It has been shown that the individual variability of the organisms and the spa...
Johannes Hoefener, Lars Rudolf, Uta Berger, Thilo ...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
15 years 10 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt