89 search results - page 2 / 18 » Margin-Based Active Learning for Structured Output Spaces |
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classiļ¬cation task a...
FOIKS
2008
Springer
13 years 6 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...
CVPR
2009
IEEE
14 years 9 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
EMNLP
2007
13 years 6 months ago
2007
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelā...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...