DAGM
2011
Springer
13 years 16 days ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
DAGM
2011
Springer
13 years 16 days ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
DAGM
2011
Springer
13 years 16 days ago
2011
Springer
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
DAGM
2011
Springer
13 years 16 days ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
108
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DAGM
2011
Springer
13 years 16 days ago
2011
Springer
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
102
click to vote
DAGM
2011
Springer
13 years 16 days ago
2011
Springer
We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random r...
DAGM
2011
Springer
13 years 16 days ago
2011
Springer
Controlling a tendon-driven robot like the humanoid Ecce is a difficult task, even more so when its kinematics and its pose are not known precisely. In this paper, we present a vis...