We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Interest in automated biometrics continues to increase, but has little consideration of time. This paper deals with a problem of recognition by gait when time-dependent and time-in...
The process of recognizing individual handwritten characters is one of classifying curves. Typically, handwriting recognition systems-even "online" systems--require enti...
In this paper, a new model of Probabilistic Model-Building Genetic Algorithms (PMBGAs), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design var...
Modelling activities in molecular biology face the difficulty of prediction to link molecular knowledge with cell phenotypes. Even when the interaction graph between molecules is k...