In this paper we evaluate NORM, a NO-Reference video quality Monitoring algorithm we proposed in a previous work, for the prediction of the subjective quality of H.264/AVC video t...
MMR (Maximum Marginal Relevance) is widely used in summarization for its simplicity and efficacy, and has been demonstrated to achieve comparable performance to other approaches ...
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
We show that all published visual data processing methods for the simulated robotic soccer so far were not utilizing all available information, because they were mainly based on he...