On the computational rationale for generative models Export

@article{citeulike:2404478, abstract = {Generative and discriminative models are best defined by the structure of their graphical representation. This paper introduces such a definition and uses it to argue that, in some practical cases, generative models need to be formulated in order to be implemented within generate-and-test algorithms. This argument is inspired mainly by the ideas of the late Donald MacKay and by considerations of computational complexity.}, author = {Pece, Arthur E.}, booktitle = {Special issue on Generative Model Based Vision}, citeulike-article-id = {2404478}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.cviu.2006.10.002}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6WCX-4MMFVXY-3/2/edde6168052d562d7487fb1110f36286}, doi = {10.1016/j.cviu.2006.10.002}, journal = {Computer Vision and Image Understanding}, keywords = {computer\_vision, theory}, month = {April}, number = {1}, pages = {130--143}, posted-at = {2008-02-20 20:07:41}, priority = {3}, title = {On the computational rationale for generative models}, url = {http://dx.doi.org/10.1016/j.cviu.2006.10.002}, volume = {106}, year = {2007} }

TY - JOUR ID - citeulike:2404478 L3 - citeulike-article-id:2404478 N2 - Generative and discriminative models are best defined by the structure of their graphical representation. This paper introduces such a definition and uses it to argue that, in some practical cases, generative models need to be formulated in order to be implemented within generate-and-test algorithms. This argument is inspired mainly by the ideas of the late Donald MacKay and by considerations of computational complexity. IS - 1 JF - Computer Vision and Image Understanding EP - 143 TI - On the computational rationale for generative models VL - 106 T2 - Special issue on Generative Model Based Vision SP - 130 KW - computer_vision KW - theory AU - Pece, Arthur PY - 2007/04// UR - http://dx.doi.org/10.1016/j.cviu.2006.10.002 ER -