Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
We present a bundled data communication scheme that is robust to crosstalk effects, and to manufacturing and environmental variations. Unlike a data bus, where each receiver alway...
Head pose estimation is a research area which has many applications, e.g. in human computer interfaces design or in the analysis of people’s focus-of-attention. The paper addres...
Abstract— Multiple-target tracking is a canonical application of sensor networks as it exhibits different aspects of sensor networks such as event detection, sensor information f...
Abstract. This paper exposes a novel formulation of prior shape constraint incorporation for the level set segmentation of objects from corrupted images. Applicable to variational ...