Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Adapting Kernels by Variational Approach in SVM
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Geometrical image segmentation by the Allen-Cahn equation
Applied Numerical Mathematics
Learning to estimate user interest utilizing the variational Bayes estimator
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention
User Modeling and User-Adapted Interaction
Interacting with human physiology
Computer Vision and Image Understanding
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We describe a new habituation system that makes use of Partial Differential Equations (PDEs) to deal with time-inconsistent patterns. With respect to our detection system, the Allen-Cahn (AC) equation is used to model a boundary which evolves over time. As a result, the AC could outperform the traditional techniques even real-world dataset. Thus, it leads to a boundary computation for robust detection system.