We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Abstract: This paper presents a new approach to Automatic GUI Test Case Generation and Validation: a use case-guided technique to reduce the effort required in GUI modeling and tes...
Pedro Luis Mateo Navarro, Diego Sevilla Ruiz, Greg...
We present an efficient method that computes dense stereo correspondences by stochastically sampling match quality values. Nonexhaustive sampling facilitates the use of quality met...
We address the problem of labeling individual datapoints given some knowledge about (small) subsets or groups of them. The knowledge we have for a group is the likelihood value fo...
Abstract— A hybrid model was developed to predict the zeroquantized discrete cosine transform (ZQDCT) coefficients for intra blocks in our previous work. However, the complicated...
Jin Li, Weiwei Chen, Moncef Gabbouj, Jarmo Takala,...