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NLPRS
2001
Springer
15 years 12 months ago
A Separate-and-Learn Approach to EM Learning of PCFGs
WeproposeanewapproachtoEMlearning of PCFGs. We completely separate the process of EM learning from that of parsing, andfor theformer, weintroduce a new EM algorithm called the gra...
Taisuke Sato, Shigeru Abe, Yoshitaka Kameya, Kiyoa...
ICIAP
1999
ACM
15 years 11 months ago
Multiresolution Object-of-Interest Detection for Images with Low Depth of Field
This paper describes a novel multiresolution image segmentation algorithm for separating sharply focused objects-of-interest from other foreground or background objects in low dep...
Jia Li, James Ze Wang, Robert M. Gray, Gio Wiederh...
ICANN
2007
Springer
15 years 11 months ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
DAGM
2008
Springer
15 years 9 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr
EVOW
2008
Springer
15 years 9 months ago
Multiobjective Prototype Optimization with Evolved Improvement Steps
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
Jirí Kubalík, Richard Mordinyi, Stef...