The adoption of Domain-Specific Modeling Languages (DSMLs) for generating framework-based applications has proved to be an effective way of enforcing the correct use of frameworks...
We present 3D Constrained Local Model (CLM-Z) for robust facial feature tracking under varying pose. Our approach integrates both depth and intensity information in a common frame...
Tadas Baltrusaitis, Peter Robinson, Louis-Philippe...
Modeling systems based on semi-formal graphical formalisms, such as Statecharts, have become standard practice in the design of reactive embedded devices. Statecharts are often mor...
In this paper, we propose a new approach to model-driven development, which we call introspective model-driven development (IMDD). This approach relies heavily on some well-underst...
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...