32 search results - page 5 / 7 » Transductive Rademacher Complexities for Learning Over a Gra... |
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
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KI
2010
Springer
14 years 4 months ago
2010
Springer
In this paper, we address the problem of lifelong map learning in static environments with mobile robots using the graph-based formulation of the simultaneous localization and mapp...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...