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IJAR
2010
130views more  IJAR 2010»
15 years 4 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
EMMCVPR
2009
Springer
15 years 4 months ago
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence
Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applicati...
Dirk Breitenreicher, Christoph Schnörr
178
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GBRPR
2009
Springer
15 years 4 months ago
Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation
In this paper, we present a novel graph construction method and demonstrate its usage in a broad range of applications starting from a relatively simple single-surface segmentation...
Yin Yin, Qi Song, Milan Sonka
CORR
2010
Springer
178views Education» more  CORR 2010»
15 years 3 months ago
Is Light-Tree Structure Optimal for Multicast Routing in Sparse Light Splitting WDM Networks?
To minimize the number of wavelengths required by a multicast session in sparse light splitting Wavelength Division Multiplexing (WDM) networks, a light-hierarchy structure, which ...
Fen Zhou, Miklós Molnár, Bernard Cou...
CONSTRAINTS
2011
14 years 10 months ago
CP and IP approaches to cancer radiotherapy delivery optimization
Abstract. We consider the problem of decomposing an integer matrix into a positively weighted sum of binary matrices that have the consecutive-ones property. This problem is well-k...
Davaatseren Baatar, Natashia Boland, Sebastian Bra...