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IJCAI
2003
15 years 8 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
15 years 7 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
CORR
2008
Springer
108views Education» more  CORR 2008»
15 years 6 months ago
Linear Processing and Sum Throughput in the Multiuser MIMO Downlink
We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multipleoutput (MIMO) system, wherein each user may receive more than one data stream. We ...
Adam J. Tenenbaum, Raviraj S. Adve
MVA
2008
305views Computer Vision» more  MVA 2008»
15 years 6 months ago
A new graph cut-based multiple active contour algorithm without initial contours and seed points
This paper presents a new graph cut-based multiple active contour algorithm to detect optimal boundaries and regions in images without initial contours and seed points. The task of...
Jong-Sung Kim, Ki-Sang Hong
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
15 years 5 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi