Semantic scene classification is a useful, yet challenging problem in image understanding. Most existing systems are based on low-level features, such as color or texture, and suc...
Matthew R. Boutell, Anustup Choudhury, Jiebo Luo, ...
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
Brain processes responsible for understanding language are approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts not ...
It is widely held that programming language extensions that support separation of concerns and that are also integrative benefit development, maintenance and reuse of software de...
R. E. Kurt Stirewalt, Laura K. Dillon, Reimer Behr...
Abstract. We present a model of object-oriented and component-based refinement. For object-orientation, the model is class-based and refinement is about correct changes in the stru...