Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Abstract. Model-driven engineering and model-based approaches have permeated all branches of software engineering; to the point that it seems that we are using models, as Molièreâ...
: This paper summarizes a model of interaction for CVEs inspired by the process followed in human communication in the real world, detailing both the main elements and the communic...