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CVPR
2005
IEEE
14 years 9 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
ICSE
2008
IEEE-ACM
14 years 8 months ago
Are fit tables really talking?: a series of experiments to understand whether fit tables are useful during evolution tasks
Test-driven software development tackles the problem of operationally defining the features to be implemented by means of test cases. This approach was recently ported to the earl...
Filippo Ricca, Massimiliano Di Penta, Marco Torchi...
ICIW
2009
IEEE
14 years 2 months ago
Towards a Disciplined Engineering of Adaptive Service-Oriented Business Processes
Today’s cross-organizations are increasingly coordinating their capabilities in the quest of dynamically adaptable and thus highly competitive realistic services. Unfortunately,...
Nasreddine Aoumeur, Kamel Barkaoui
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...
UML
2005
Springer
14 years 24 days ago
Reliability Prediction in Model-Driven Development
Abstract. Evaluating the implications of an architecture design early in the software development lifecycle is important in order to reduce costs of development. Reliability is an ...
Genaína Nunes Rodrigues, David S. Rosenblum...