In this work, we propose a novel saliency-based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by packet loses. The ...
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
Eugene Ie, Jason Weston, William Stafford Noble, C...
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
We present a method for the automatic generation of oligonucleotide probe sets for DNA microarrays. This approach is well suited particularly for specificity evaluation of design...