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ACCV
2006
Springer
14 years 1 months ago
2006
Springer
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
COLING
2010
13 years 2 months ago
2010
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
TFS
2008
2008
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
13 years 7 months ago
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In recent years the video event understanding is an active research topic, with many applications in surveillance, security, and multimedia search and mining. In this paper we foc...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...