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JGAA
2007
135views more  JGAA 2007»
13 years 9 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
ECML
2004
Springer
14 years 2 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
LREC
2010
163views Education» more  LREC 2010»
13 years 10 months ago
Socially Driven Ontology Enrichment for eLearning
One of the objectives of the Language Technologies for Life-Long Learning (LTfLL) project, is to develop a knowledge sharing system that connects learners to resources and learner...
Paola Monachesi, Thomas Markus
PR
2008
195views more  PR 2008»
13 years 8 months ago
Object detection by global contour shape
We present a method for object class detection in images based on global shape. A distance measure for elastic shape matching is derived, which is invariant to scale and rotation,...
Konrad Schindler, David Suter
IFIP12
2009
13 years 6 months ago
A Hybrid Approach for Improving Prediction Coverage of Collaborative Filtering
In this paper we present a hybrid filtering algorithm that attempts to deal with low prediction Coverage, a problem especially present in sparse datasets. We focus on Item HyCoV, a...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...