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JMLR
2010
129views more  JMLR 2010»
13 years 2 months ago
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...
CIS
2006
Springer
13 years 11 months ago
Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces
In this paper, we propose a new variational decomposition model which splits an image into two components: a first one containing the structure and a second one the texture or nois...
Min Li, Xiangchu Feng
ICDAR
2009
IEEE
13 years 5 months ago
A Variational Bayes Method for Handwritten Text Line Segmentation
Text line segmentation in unconstrained handwritten documents remains a challenge because handwritten text lines are multi-skewed and not obviously separated. This paper presents ...
Fei Yin, Cheng-Lin Liu
COLING
2010
13 years 2 months ago
Benchmarking for syntax-based sentential inference
We propose a methodology for investigating how well NLP systems handle meaning preserving syntactic variations. We start by presenting a method for the semi automated creation of ...
Paul Bédaride, Claire Gardent
COLT
2007
Springer
14 years 1 months ago
Mitotic Classes
For the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in th...
Sanjay Jain, Frank Stephan