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» Business Process Knowledge Modelling: Method and Tool
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ICASSP
2008
IEEE
15 years 4 months ago
Discriminative training by iterative linear programming optimization
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Brian Mak, Benny Ng
PAMI
2008
137views more  PAMI 2008»
14 years 9 months ago
IRGS: Image Segmentation Using Edge Penalties and Region Growing
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
Qiyao Yu, David A. Clausi
PVLDB
2010
174views more  PVLDB 2010»
14 years 8 months ago
x-RDF-3X: Fast Querying, High Update Rates, and Consistency for RDF Databases
The RDF data model is gaining importance for applications in computational biology, knowledge sharing, and social communities. Recent work on RDF engines has focused on scalable p...
Thomas Neumann, Gerhard Weikum
ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 8 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
SGP
2007
15 years 9 days ago
Developable surfaces from arbitrary sketched boundaries
Developable surfaces are surfaces that can be unfolded into the plane with no distortion. Although ubiquitous in our everyday surroundings, modeling them using existing tools requ...
Kenneth Rose, Alla Sheffer, Jamie Wither, Marie-Pa...