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PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
15 years 4 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
DLOG
2011
14 years 10 months ago
Correcting Access Restrictions to a Consequence More Flexibly
Recent research has shown that labeling ontologies can be useful for restricting the access to some of the axioms and their implicit consequences. However, the labeling of the axio...
Eldora, Martin Knechtel, Rafael Peñaloza
NIPS
2003
15 years 7 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
DAGM
2007
Springer
16 years 20 days ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
IJCV
2008
139views more  IJCV 2008»
15 years 6 months ago
Multilevel Image Coding with Hyperfeatures
Histograms of local appearance descriptors are a popular representation for visual recognition. They are highly discriminant with good resistance to local occlusions and to geomet...
Ankur Agarwal, Bill Triggs