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» Learning and Inference with Constraints
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BILDMED
2006
120views Algorithms» more  BILDMED 2006»
13 years 11 months ago
Towards Automatic Segmentation of Serial High-Resolution Images
Developing barley grains are to be visualised by a 4-D model, in which spatiotemporal experimental data can be integrated. The most crucial task lies in the automation of the exten...
Cornelia Brüß, Marc Strickert, Udo Seif...
ACE
2003
180views Education» more  ACE 2003»
13 years 11 months ago
Managing the managers: Collaborative virtual teams with large staff and student numbers
Virtual teaming involving online presentations and peer reviews support the notion of collaborative student learning, whilst preparing them for the virtual work environment. Howev...
Kathy Egea
NIPS
2004
13 years 11 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
NIPS
2003
13 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
EC
2008
146views ECommerce» more  EC 2008»
13 years 10 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga