Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
We present a new algorithm for eliminating excess parameters and improving network generalization after supervised training. The method, \Principal Components Pruning (PCP)",...
Several issues on automatic inspection of textile fabrics are discussed in this paper. To avoid the intense computation for real time inspection, we suggest a parallel pyramid har...
An automatic visual inspection system for the Tape Carrier Package (TCP) has been developed. To achieve low cost implementation and high speed inspection, we integrated unique ima...