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IJCV
2000
164views more  IJCV 2000»
13 years 8 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
COR
2006
94views more  COR 2006»
13 years 8 months ago
A comparison of two different formulations for arc routing problems on mixed graphs
Arc Routing Problems on mixed graphs have been modelled in the literature either using just one variable per edge or associating to each edge two variables, each one representing ...
Angel Corberán, Enrique Mota, José M...
COLING
2010
13 years 3 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
IJON
2000
71views more  IJON 2000»
13 years 8 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
SOFSEM
2007
Springer
14 years 2 months ago
Spatial Selection of Sparse Pivots for Similarity Search in Metric Spaces
Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, ca...
Oscar Pedreira, Nieves R. Brisaboa