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» Adaptive Kernel Methods Using the Balancing Principle
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DAGM
2009
Springer
15 years 4 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
15 years 9 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
14 years 10 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
14 years 1 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»
14 years 9 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...