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ISVC
2007
Springer
14 years 1 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
14 years 29 days ago
A Framework for Incorporating Class Priors into Discriminative Classification
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
Rong Jin, Yi Liu
SPAA
2005
ACM
14 years 1 months ago
Efficient algorithms for verifying memory consistency
One approach in verifying the correctness of a multiprocessor system is to show that its execution results comply with the memory consistency model it is meant to implement. It ha...
Chaiyasit Manovit, Sudheendra Hangal
IEE
2008
115views more  IEE 2008»
13 years 7 months ago
Faithful mapping of model classes to mathematical structures
ion techniques are indispensable for the specification and verification of functional behavior of programs. In object-oriented ation languages like JML, a powerful abstraction tec...
Ádám Darvas, Peter Müller
ECCV
2008
Springer
13 years 9 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...