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» Learning from Highly Structured Data by Decomposition
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DAGSTUHL
2001
14 years 11 months ago
A Language and System for Constructing and Presenting Low Fidelity Algorithm Visualizations
Computer science educators have traditionally used algorithm visualization (AV) software to create graphical representations of algorithms that are later used as visual aids in lec...
Christopher D. Hundhausen, Sarah A. Douglas
IJCV
2007
163views more  IJCV 2007»
14 years 9 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
TNN
2008
97views more  TNN 2008»
14 years 9 months ago
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
Liefeng Bo, Ling Wang, Licheng Jiao
ICIP
2010
IEEE
14 years 7 months ago
Ball event recognition using hmm for automatic tennis annotation
A key element for video indexing and summarisation is the description of isolated events and actions. In the context of many sports the motion of the ball plays an essential role ...
Ibrahim Almajai, Josef Kittler, Teofilo de Campos,...
MCS
2010
Springer
14 years 7 months ago
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
Muhammad Atif Tahir, Josef Kittler, Krystian Mikol...