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PAMI
2010
132views more  PAMI 2010»
14 years 8 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
104
Voted
JMLR
2012
12 years 12 months ago
Multi-label Subspace Ensemble
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
Tianyi Zhou, Dacheng Tao
AMDO
2008
Springer
14 years 11 months ago
Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
Abstract. In this paper we present our work on markerless model-based 3D human motion capture using multiple cameras. We use an industry proven anthropometric human model that was ...
Jan Bandouch, Florian Engstler, Michael Beetz
BMCBI
2010
117views more  BMCBI 2010»
14 years 9 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
ISBI
2002
IEEE
15 years 10 months ago
Cardiac ultrasound motion detection by elastic registration exploiting temporal coherence
We propose a new global registration method for estimating the cardiac displacement field in 2D sequences of ultrasound images of the heart. The basic idea is to select a referenc...
Andrés Santos, Jan Kybic, Manuel Desco, Mar...