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» Adaptive Kernel Methods Using the Balancing Principle
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DAGM
2009
Springer
14 years 2 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
RECOMB
2004
Springer
14 years 7 months ago
Comparing in situ mRNA expression patterns of drosophila embryos
In situ staining of a target mRNA at several time points during the development of a D. melanogaster embryo gives one a detailed spatio-temporal view of the expression pattern of ...
Hanchuan Peng, Eugene W. Myers
DAGM
2010
Springer
13 years 8 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
ICASSP
2011
IEEE
12 years 11 months ago
Eigentriphones: A basis for context-dependent acoustic modeling
In context-dependent acoustic modeling, it is important to strike a balance between detailed modeling and data sufficiency for robust estimation of model parameters. In the past,...
Tom Ko, Brian Mak
JCP
2006
128views more  JCP 2006»
13 years 7 months ago
A Service Oriented Framework for Multimedia Radio Networks
- In order to enable fast deployment of new emerging services over multimedia radio networks, it is important to design an efficient service-based platform with necessary traffic m...
Asma Ben Letaifa, Sami Tabbane, Zièd Chouka...