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CVPR
2012
IEEE
11 years 10 months ago
Structured Local Predictors for image labelling
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
Samuel Rota Bulò, Peter Kontschieder, Marce...
ICPR
2006
IEEE
14 years 8 months ago
Local Behaviours Labelling for Content Based Video Copy Detection
This paper presents an approach for indexing a large set of videos by considering the dynamic behaviour of local visual features along the sequences. The proposed concept is based...
Julien Law-To, Valérie Gouet-Brunet, Olivie...
IDA
2009
Springer
14 years 2 months ago
Bayesian Solutions to the Label Switching Problem
Abstract. The label switching problem, the unidentifiability of the permutation of clusters or more generally latent variables, makes interpretation of results computed with MCMC ...
Kai Puolamäki, Samuel Kaski
ICML
2007
IEEE
14 years 8 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
RTA
2010
Springer
13 years 11 months ago
Automated Confluence Proof by Decreasing Diagrams based on Rule-Labelling
Decreasing diagrams technique (van Oostrom, 1994) is a technique that can be widely applied to prove confluence of rewrite systems. To directly apply the decreasing diagrams techn...
Takahito Aoto