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» Position Paper: Ontology Learning from Folksonomies
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CHI
2011
ACM
13 years 8 days ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
ISDA
2010
IEEE
13 years 6 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal
ECCV
2008
Springer
14 years 10 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
BEHAVIOURIT
2007
91views more  BEHAVIOURIT 2007»
13 years 8 months ago
Reality is our laboratory: communities of practice in applied computer science
This paper presents a longitudinal study of the course ‘High-tech Entrepreneurship and New Media’. The course design is based on socio-cultural theories of learning and consid...
Markus Rohde, Ralf Klamma, Matthias Jarke, Volker ...
PERCOM
2006
ACM
14 years 8 months ago
Semantic Indexing for Recorded Educational Lecture Videos
In this paper, we present a general architecture and a new retrieval method for an educational system that is based on a knowledge base of existing recorded lectures. The extracti...
Stephan Repp, Christoph Meinel