In this work, we extend a common framework for seeded
image segmentation that includes the graph cuts, ran-
dom walker, and shortest path optimization algorithms.
Viewing an ima...
Camille Couprie, Leo Grady, Laurent Najman, Hugues...
Finding the largest clique in random graphs is a well known hard problem. It is known that a random graph G(n, 1/2) almost surely has a clique of size about 2 log n. A simple greed...
Let K be a polytope in Rn defined by m linear inequalities. We give a new Markov Chain algorithm to draw a nearly uniform sample from K. The underlying Markov Chain is the first t...
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Three factors are related in analyses of performance curves such as learning curves: the amount of training, the learning algorithm, and performance. Often we want to know whether...
Justus H. Piater, Paul R. Cohen, Xiaoqin Zhang, Mi...