This paper presents a new approach for multi-view object class detection. Appearance and geometry are treated as separate learning tasks with different training data. Our approach...
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
For an online handwriting recognition system equipped with a writer-independent classifier to progressively improve the recognition performance for a specific writer with an incre...
In this paper, we describe a decompositional approach to convergence proofs for stochastic hybrid systems given as probabilistic hybrid automata. We focus on a concept called “st...
Abstract. We introduce model-checking games that allow local secondorder power on sets of independent transitions in the underlying partial order models where the games are played....