Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a hig...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
We investigate the optimum transmission strategy that minimizes the overall distortion for delaysensitive but distortion-tolerant data. We consider a set of source symbols residin...
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...