This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning...
Background: Prediction of protein localization in subnuclear organelles is more challenging than general protein subcelluar localization. There are only three computational models...
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
In this paper, we present two systems that were used for head pose estimation during the CLEAR06 Evaluation. We participated in two tasks: (1) estimating both pan and tilt orientat...
We propose script-specific post processing schemes for improving the recognition rate of online Tamil characters. At the first level, features derived at each sample point of the ...