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» Labeling Points with Weights
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CCS
2009
ACM
16 years 17 days ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
ISMAR
2009
IEEE
16 years 12 days ago
Robust pose estimation in untextured environments for augmented reality applications
We present a robust camera pose estimation approach for stereo images captured in untextured environments. Unlike most of existing registration algorithms which are point-based an...
Wei Guan, Lu Wang, Jonathan Mooser, Suya You, Ulri...
EMMCVPR
2009
Springer
16 years 10 days ago
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
16 years 9 days ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
16 years 9 days ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld