Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
This paper proposes a method of rate-distortion optimisation of an algorithm for compressing dynamic 3D triangle meshes. Although many articles regarding compression methods for th...
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
If parallelism can be successfully exploited in a program, significant reductions in execution time can be achieved. However, if sections of the code are dominated by parallel ove...
Abstract--In this paper we propose a probabilistic classification algorithm with a novel Dynamic Time Warping (DTW) kernel to automatically recognize flight calls of different spec...
Theodoros Damoulas, Samuel Henry, Andrew Farnswort...