7 search results - page 1 / 2 » Semi-supervised sequence classification using abstraction au... |
FLAIRS
2004
13 years 6 months ago
2004
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
BCB
2010
12 years 12 months ago
2010
ACCV
1998
Springer
13 years 9 months ago
1998
Springer
Abstract. This paper deals with the classification of color video sequences using Markov Random Fields (MRF) taking into account motion information. The theoretical framework relie...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
TCSV
2008
13 years 4 months ago
2008
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...